Cafeteria

NovoTree Minds Consulting Reviews by Employees

Responsibilities : - Design, build, and optimize data pipelines using AWS S3, EMR, and Glue. - Develop and maintain scalable ETL workflows for campaign, customer, deposit, and credit card domains. - Write and maintain complex data transformation logic using Python or PySpark scripts for ETL, data quality, and automation tasks. - Monitor, troubleshoot, and resolve issues in scheduled data jobs (root cause analysis, escalations, bug fixes) using airflow. - Automate failure notifications, job monitoring, and maintenance history tracking. - Coordinate with source and Datalake teams for missing data or fixes. - Manage password rotation and SSL upgrades on S3 buckets 4. - Design and implement automated data quality checks and reporting solutions. - Investigate and resolve data quality issues - Collaborate with QA and production support teams for continuous process improvement. - Use GoCD, Bitbucket, and related DevOps tools for CI/CD and deployment automation. - Participate in Agile/Scrum ceremonies, manage Jira tasks, and contribute to technical documentation - Good understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera, hortonworks) and/or AWS. - Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability. - Suitable candidate will also be proficient in Spark, Spark Streaming, hive, SQLs. - Suitable candidate will also demonstrate experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. Secondary Responsibilities : - Ability to work independently and handle your own development effort. - Excellent oral and written communication skills Learn and use internally available analytic technologies. - Identify key performance indicators and create educational/deliverables path to achieve the same. - Use educational background in data engineering and perform data mining analysis. - Work with BI analysts/engineers to create prototypes. - Engage in the delivery and presentation of solutions. Technical Stack : - AWS : S3, EC2, EMR, Glue, Athena, - Programming : PySpark, Python - Data Integration : Kafka, API, flat files, vendor feeds - DevOps : GoCD, Bitbucket, Jira - Orchestrator : Apache Airflow

Mumbai

Bangalore

Data Engineer - Python/Spark (2-10 yrs)

Duties & Responsibilities : - Design, develop, and maintain front-end solutions that adhere to industry best practices and standards. - Collaborate closely with cross-functional teams, including product management, backend developers, support, and QA, to transform requirements into robust, scalable front-end features. - Define, implement, and uphold coding standards and quality assurance processes to deliver high-quality front-end solutions that meet both functional and technical requirements. - Perform code reviews and promote best practices to enhance the overall quality and efficiency of front-end development processes. - Stay informed about emerging front-end technologies, frameworks, and tools; evaluate their potential impact and determine their suitability for adoption in our products. Knowledge, Skills & Abilities : - Strong proficiency in Angular, HTML5, JavaScript, and CSS. - Solid experience with C#, .NET technologies, and MS SQL Server. - Proficient in using front-end build tools such as Webpack, Gulp, or Grunt. - Strong understanding of JSON, RESTful APIs, and other data integration techniques. - Familiarity with core UX/UI principles and a demonstrated ability to apply them effectively. - Ability to work both independently and collaboratively as part of a team. - Experience with Java and Azure DevOps Server is a plus. - Excellent problem-solving and communication skills. Qualifications : - 5+ years of applicable experience and demonstrated success/knowledge.

Frontend Developer - Javascript/AngularJS (5-8 yrs)

Role and Responsibilities : - Design, create, code, and support a variety of data pipelines and models on GCP cloud technology - Strong hand-on exposure to GCP services like BigQuery, Composer etc. - Partner with business/data analysts, architects, and other key project stakeholders to deliver data requirements. - Developing data integration and ETL (Extract, Transform, Load) processes. - Support existing Data warehouses & related pipelines. - Ensuring data quality, security, and compliance. - Optimizing data processing and storage efficiency, troubleshoot issues in Data space. - Seeks to learn new skills/tools utilized in Data space (ex: dbt, MonteCarlo etc.) - Excellent communication skills- verbal and written, Excellent analytical skills with Agile mindset. - Demonstrates strong affinity towards paying attention to details and delivery accuracy. - Self-motivated team player and should have ability to overcome challenges and achieve desired results. - Work effectively in Global distributed environment. - Employee should be ready to work as individual contributor Skill Proficiency Expectation : - Expert : Data Storage, BigQuery, SQL, Composer, Data Warehousing Concepts - Intermidate Level : Python - Basic Level/Preferred : DB, Kafka, Pub/Sub Additional Information : - The candidate should have a minimum of 8 years of experience in Google BigQuery. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.

Google BigQuery Engineer - Data Engineering (4-10 yrs)

Responsibilities : - Design, develop, and maintain real-time data ingestion pipelines using Change Data Capture (CDC) mechanisms from various source systems (e.g., relational databases, NoSQL databases). - Implement and manage data streaming solutions primarily using Apache Kafka, Kafka Connect, and Debezium for reliable and low-latency data propagation. - Configure, monitor, and optimize Debezium connectors for various database sources to ensure efficient and accurate capture of data changes. - Develop robust data transformation and processing logic for real-time streams using frameworks like Apache Spark Streaming, Flink, or Kafka Streams. - Ensure data quality, consistency, and integrity within real-time data streams and downstream systems. - Collaborate closely with source system owners, application teams, data scientists, and analysts to understand real-time data requirements and deliver appropriate solutions. - Troubleshoot and resolve complex issues related to real-time data pipelines, Kafka clusters, and Debezium connectors. - Implement monitoring, alerting, and logging for real-time data infrastructure to ensure high availability and performance. - Optimize streaming applications and Kafka configurations for scalability, throughput, and cost-efficiency. - Document real-time data architecture, pipeline designs, and operational procedures. - Adhere to data governance policies, security standards, and regulatory compliance (e.g., RBI guidelines) in all real-time data integration efforts. Technical Skills : - Real-time Data Integration : Deep hands-on experience with Change Data Capture (CDC) mechanisms. - Streaming Technologies : Expertise in Apache Kafka, Kafka Connect, and stream processing concepts. - CDC Tools : Strong proficiency with Debezium for real-time data ingestion from databases. - Programming Languages : Strong proficiency in Python or Java (Java 8 & above, Spring Boot, REST APIs). Shell Scripting. - Big Data Frameworks : Experience with stream processing frameworks like Apache Spark Streaming, Apache Flink, or Kafka Streams is highly desirable. - Cloud Platforms : Experience working in cloud environments (preferably GCP-based lakes) and utilizing relevant services for real-time data. - SQL Proficiency : Strong SQL skills for querying source databases and validating data. Proficient in querying and validating data using SQL or similar languages. - Database Knowledge : Solid understanding of relational and NoSQL databases for CDC source integration. - Data Warehousing/Lakes : Familiarity with data warehouse environments like BigQuery, or GCP-based lakes. - DevOps/Deployment : Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for deploying streaming applications. - Monitoring & Alerting : Experience with monitoring tools for real-time data pipelines and Kafka (e.g., Prometheus, Grafana). - Other : JSON, Debugging skills, Design.

Data Engineer - CDC/Python (4-6 yrs)

Job Description : - Advanced Data Pipeline Development : Develop, and optimize complex ETL/ELT processes and real-time data streaming solutions to ingest, cleanse, transform, and deliver large-scale datasets from diverse on-premise and cloud sources into data warehouses, data lakes, and analytical platforms. - Performance Engineering : Proactively identify and resolve complex data-related performance bottlenecks and scalability challenges, ensuring optimal processing, storage, and retrieval for high-volume analytical and operational use cases. - Technical & Team Leadership : Provide strong technical leadership, guidance, and mentorship to a team of data engineers. Foster a culture of excellence, best practices, code quality, and continuous learning through expert code reviews and technical guidance. - Cross-functional Collaboration : Serve as a primary technical liaison, partnering closely with business stakeholders, data scientists, product owners, and other engineering teams to translate complex business requirements into robust and efficient data engineering solutions. - Cloud Data Platform Mastery : Leverage, optimize, and manage cloud-native data services (preferably GCP) for comprehensive data storage, processing, analytics, and machine learning workflows. - Automation, Monitoring & Resilience : Design and implement advanced automation for data pipeline deployment, testing, monitoring, and alerting, focusing on resilience, disaster recovery, and proactive issue resolution. - Technical Documentation & Standards : Establish and maintain comprehensive technical documentation for all data, pipelines, data models, and engineering standards. - Innovation & Evangelism : Continuously research, evaluate, and recommend cutting-edge data technologies, tools, and methodologies to enhance our data capabilities and drive competitive advantage. Champion data-driven decision-making across the organization. TECHNICAL SKILLS TECHNICAL SKILLS : - Core Data Engineering : Expert-level hands-on experience with large-scale data warehousing (e.g., Google BigQuery, Snowflake), data lakes (e.g., GCP-based lakes, S3, ADLS), and advanced distributed processing frameworks (e.g., Apache Spark, Apache Kafka). - Programming Languages : Expert proficiency in Python for complex data engineering, scripting, automation, and API development. Strong experience with Java or Python for big data applications. - Database & Querying : Exceptional SQL proficiency, including performance tuning, complex query optimization, and advanced data modeling (relational, dimensional, NoSQL). Experience with database administration concepts. - ETL/Orchestration Tools : Deep hands-on experience with enterprise-grade data orchestration tools (e.g., Apache Airflow, GCP Cloud Dataflow, Dataproc, Talend, Ab- Initio). - Cloud Platforms : Strong and proven experience with GCP (Google Cloud Platform) data services (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Composer, Data Catalog). Experience with AWS or Azure data ecosystems is a plus. - APIs & Integrations : Extensive experience designing and implementing robust data ingestion and integration solutions using REST APIs and various data connectors. - Version Control & CI/CD : Mastery of Git, advanced branching strategies, and comprehensive CI/CD pipelines for automated deployment and testing of data solutions

Lead Data Engineer - ETL (7-9 yrs)

Results-oriented Data Engineer with 5-6 years of dedicated experience in the Ab Initio suite, specializing in designing, developing, and optimizing high-performance ETL/ELT processes. Proven ability to translate complex business requirements into efficient data solutions, ensuring data integrity and reliability. Skilled in leveraging Ab Initio's capabilities for large-scale data integration, data warehousing, and data quality initiatives, preferably within the BFSI or NBFC domain. RESPONSIBILITIES : - Design, develop, and implement robust and scalable ETL/ELT data pipelines using various components of the Ab Initio suite. - Translate complex business requirements into efficient and effective Ab Initio graphs, plans, and technical specifications. - Perform data profiling, data analysis, and data mapping to ensure accurate and complete data integration. - Optimize Ab Initio jobs for performance, scalability, and resource utilization, ensuring efficient data processing. - Develop and implement data quality rules and checks within Ab Initio to maintain high data integrity across various datasets. - Troubleshoot, debug, and resolve complex data pipeline issues, ensuring smooth operation and data flow. - Collaborate closely with data architects, data modelers, business analysts, and other engineering teams to deliver comprehensive data solutions. - Maintain and enhance existing Ab-Initio applications and contribute to ongoing data platform improvements. - Adhere to coding standards, best practices, and version control procedures (e.g., EME) for Ab Initio development.. - Participate in design reviews, code reviews, and provide technical guidance to junior team members. - Ensure proper documentation of Ab Initio solutions, including design documents, mapping specifications, and operational guides. TECHNICAL SKILLS : 1. Ab Initio Expertise : 4-6 years of hands-on, in-depth experience with the Ab Initio suite, including : - Ab Initio Graphical Development Environment (GDE) - Ab Initio Co-Operating System - Ab Initio Enterprise Meta Environment (EME) - Ab Initio Express It (preferred) - Strong understanding of Ab Initio commands, utilities, and best practices. 2. ETL/ELT Concepts : - Strong understanding of ETL/ELT methodologies and data warehousing concepts. 3. SQL Proficiency : - Expert-level SQL skills for querying, data manipulation, and performance tuning. Proficient in querying and validating data using SQL or similar languages. 4. Database Knowledge : Experience working with various relational databases (e.g., Oracle, SQL Server, DB2) and file systems as sources and targets. 5. Data Warehousing/Lakes : Experience working in or with data warehouse environments like BigQuery, or GCP-based lakes. 6. Scripting : Proficiency in Shell Scripting. 7. Programming : Familiarity with Python, JSON, Java 8 & REST APIs is a plus. 8. Debugging Skills : Strong debugging skills for complex data pipelines.

Data Engineer - Abinitio (4-6 yrs)

What you will be involved with as an Application Support Engineer : - Owning and investigating a wide variety of production issues at both an application and database level - Producing robust, well-written solutions for production issues - Effectively communicating investigation status to the customer - Deployment of fixes to production environments - Escalate to senior team members as appropriate to resolve issues - Assist in the creation and maintenance of support documentation, including FAQs, knowledge base articles, and troubleshooting guides - Participate in a rota schedule which includes working on weekends and bank holidays. Qualifications : If you are the right Application Support Engineer for us, you'll be able to demonstrate : - A bachelors degree in a traditional science subject, ideally computer science, engineering or information systems from a well-regarded university - 2 - 3 years of experience in an application support role, with proven record of technical investigation and creating solutions to problems. - 2 - 3 years of hands-on experience in at least one major language (Java, J2EE, C, C++, Python, PHP, etc.) and SQL queries - Strong fundamental programming skills (data structures, algorithms) - Good analytical and problem-solving skills - Excellent communication skills, both written and spoken - An ability to learn new technologies quickly, work independently, manage workload and escalate in timely manner. The ideal candidate would also have the following skills/experiences : - Adequate knowledge of any Unix/Linux distributions (e.g. Ubuntu, SUSE, etc.), commands and bash shell; - Adequate knowledge of performance monitoring tools (Grafana, Datadog, Squadcast etc.); - Adequate knowledge of LAMP (Linux, Apache, MySQL, PHP) website design; - Adequate knowledge of Web technologies (HTML, HTML5 and CSS) and internet protocols (XML, HTTP, TCP/IP); - Experience using version control systems (GIT, Subversion, CVS, etc.); - Adequate knowledge of scripting languages such as Perl, Python, JavaScript; - Familiarity with Jira ticketing system. Additional information : Alongside our market leading benefits; dynamic & vibrant working culture and talented team members we can offer you: - Competitive benefits, an open and supportive environment as well as a modern and exciting workplace. - The opportunity to interact with global teams, and where appropriate switch teams and projects as you and our business continue to develop and grow. - Tangible and genuine career development - where you can take your career where you want it to go! - Exposure to real-world and business-critical projects & the chance to develop some of the worlds leading e-commerce sportsbooks whilst working with various clients and seeing lots of code! - New skills and a completely different, fresh approach to development.

Senior Support Engineer - Unix/Linux (5-9 yrs)

Job Description : - Application Developer with a high level of technical expertise, combined with excellent planning, coordination and communication skills, and the ability to work on teams. - Practitioners must have experience with relevant development tools and specific application and system architecture, in addition to a strong understanding of object-oriented design. Preferred : - Proficient in building cloud-native application development using latest technologies like Java, React, Node, etc and understanding of Kubernetes, Docker, DevOps practices is expected - Ability to lead App development projects through the complete development lifecycle. Role : - Architect, design, and develop scalable, resilient, and cloud-native applications. - Designing major aspects of the architecture of an application, including components such as user interface, middleware and infrastructure - Providing technical leadership to the application development team, performing design and code reviews. - Ensuring that uniform enterprise-wide application design standards are maintained - Collaborating with other stakeholders to ensure the architecture is aligned with business requirements - Execute all projects in compliance with company development guidelines. - Enforces sound development practices and ensures the quality and timely delivery of applications. - Act as a technical advisor to application development teams to plan, implement, and support new and existing applications. - Comfortable working with an agile product development environment, building from scratch and continuously improving it. - Adhere to all applicable requirements, policies, and procedures specified by the organization pertaining to quality and information security.

Solution Architect - Node.js/React.js (10-15 yrs)

Responsibilities : - Enterprise Architecture : Leverage experience architecting banking solutions to align business strategy with enterprise IT strategy, embed in key transformation programs, use people and technology skills to get stakeholder buy-ins across business and IT on reference architectures, architecture decisions and demonstrate business outcomes and KRAs achieved through transformation. - Solution Architecture : Design and document cloud and on-premises application and deployment architectures, incorporating microservices and event-driven architecture principles. Document architecture decisions aligning with enterprise strategy. - Data Architecture : Define and implement data management strategies, including data governance, data modeling, and data integration within the banking context. - Reliability and Performance : Champion reliability and performance engineering principles, including SRE practices, to ensure the availability, scalability, and responsiveness of our banking systems. - Cost Optimization : Conduct cost-benefit analyses of architectural options and make recommendations that balance performance, cost, and risk, specifically considering the cost implications of banking platforms and associated technologies. - Architecture Governance : Lead and facilitate Architecture Review Boards (ARBs) to ensure adherence to architectural principles, standards, and roadmaps. - Strategic Planning : Collaborate with business stakeholders to understand their needs and translate them into actionable technology strategies. Develop build vs. buy strategies for key initiatives. - Open-Source Advocacy : Evangelize the adoption of open-source technologies and established technology patterns within the organization. - Security & Compliance : Contribute to supply chain security and governance, promote DevSecOps practices, and ensure adherence to cybersecurity best practices, including OWASP mitigation strategies. - Communication : Effectively communicate architectural concepts and recommendations to both technical and non-technical audiences.

Enterprise Architect - Cyber Security (12-18 yrs)

Job Description : Responsibilities : - Administer AWS cloud for all common services. - Manage multi account environment with control tower. - AWS networking. - Understand and prepare LLD and HLD for AWS infrastructure. - Expert in end-to-end automation of cloud infrastructure provisioning using IaC - Write terraform code and modules. - Prepare re-usable templates. Put guard rails with code linting policies. - Write ansible playbooks and tasks for configuration management and patching - Create CI/CD pipelines - Write docker files for building images - Manage EKS clusters. Hands on experience on access management, add-ons, deployments, ingress, service mesh like istio etc., - Write automation scripts where ever needed using shell/python - Hands on experience with deploying and managing monitoring tools like Prometheus-Grafana or EKL stack - Linux administration experience

DevOps Engineer - CI/CD Pipeline (7-12 yrs)

Title : Cloud Specialist : Gen AI Job Description : As a Cloud Specialist, You will play a crucial role in designing, developing and implementing Gen AI solutions that will revolutionize the way organizations operate. You will work closely with our clients to understand their unique business needs and develop custom Gen AI solutions that meet and exceed their expectations. Key Responsibilities : 1. Develop Gen AI design solutions that align with business objectives and requirements. 2. Collaborate with cross-functional teams to identify and prioritize Gen AI use cases for our clients. 3. Lead teams for development and implementation of Gen AI models, algorithms and workflows. 4. Provide technical expertise and support to ensure successful deployment and integration of Gen AI solutions. 5. Stay current with the latest Gen AI technologies and trends to continuously improve and innovate our offerings. 6. Work closely with clients to gather feedback and iterate on Gen AI solutions to ensure maximum effectiveness. Qualifications : - Bachelor's degree in computer science, engineering or related field. - Proven experience in Gen AI architecture, design and implementation. - Proficiency in programming languages such as Python - Strong understanding of machine learning, deep learning and natural language processing. - Excellent communication and problem-solving skills. - Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously

Cloud Specialist - Generative AI (5-14 yrs)

We are looking for an experienced Tech Lead with a strong background in System Design, Python Development, Docker, Kubernetes. The ideal candidate will be responsible for leading technical initiatives, designing scalable solutions, managing a development team, and working closely with customers to deliver high-quality software solutions. Key Responsibilities : - System Design & Architecture : Lead the design and implementation of scalable, reliable, and maintainable software architectures. - Python Development : Write high-quality, maintainable, and efficient Python code for backend systems and applications. - Containerization & Orchestration : Deploy, manage, and optimize containerized applications using Docker and Kubernetes. - Customer Engagement : Work closely with clients to understand requirements, propose technical solutions, and ensure timely delivery. - Team Leadership & Mentorship : Guide and mentor a team of developers, ensuring best practices in coding, design, and deployment. - DevOps & CI/CD : Implement and maintain CI/CD pipelines, ensuring automated deployments and continuous integration. - Performance Optimization : Monitor and optimize application performance, scalability, and security. - Code Reviews & Best Practices : Ensure adherence to coding standards, conduct regular code reviews, and foster a culture of technical excellence. Required Skills & Qualifications : - 6-8 years of hands-on experience in software development and system architecture. - Strong expertise in Python and its frameworks (Django, Flask). - Proficiency in System Design and architecture principles for scalable applications. - Hands-on experience with Docker & Kubernetes(helm) in production environments. - Experience in managing and leading development teams (2+ years in a leadership role). - Experience with Cloud platforms (Azure) and infrastructure automation. - Excellent problem-solving, debugging and decision-making skills. - Strong communication and customer-handling abilities to interact with stakeholders effectively. - Knowledge of database management systems (SQL & NoSQL - PostgreSQL, MySQL, MongoDB, etc.). Preferred Qualifications : - Experience with microservices architecture and event-driven systems. - Knowledge of API design, authentication mechanisms, and security best practices. - Experience working in an Agile/Scrum environment. - Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack, etc.)

Technical Lead - Python Technologies (5-10 yrs)

Job Description : - 3 - 6 years of work experience in consulting/analytics with reputed organization is desirable. - Prior experience with building end-to-end solutions and ability to implement data engineering flows, OLAP Warehouse etc. are plus. - Proficiency in programming languages such as Python, R - Strong experience with ETL tools and processes. - In-depth knowledge of relational and non-relational databases (e.g., SQL, NoSQL). - Working knowledge in DevOps Infra-as-code set up, DevSecOps, Branching strategy along with maintaining CI/CD pipeline. - Working experience in complex dashboards using Power Query, Power BI Desktop, Power Apps, Tableau etc. is a plus. - Strong work experience on cloud platforms like Azure/AWS/GCP is desired. - Ability to work with large data sets and present conclusions to key stakeholders; Data management using Python/Spark - Good understanding of Object-Oriented Programming Data Architecture : - Design, develop, and implement scalable and efficient data architectures to support the organization's business needs. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the data architecture meets those needs. ETL Processes : - Develop and maintain robust ETL processes for extracting, transforming, and loading data from diverse sources into the data warehouse. Create and maintain CI/CD pipelines. - Optimize and automate ETL workflows to improve efficiency and reduce processing times. Data Modeling : - Create and maintain data models that reflect the structure and relationships within the data, ensuring accuracy and integrity. - Work with database administrators to implement and manage database schemas. Database Management : - Administer and maintain databases, ensuring optimal performance, security, and availability. - Troubleshoot and resolve database-related issues in a timely manner. Collaboration and Documentation : - Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. - Work closely with IT and software development teams to integrate data engineering solutions into existing systems. - Document data engineering processes, workflows, and configurations to ensure knowledge transfer and maintain a comprehensive knowledge base. - Experience in building interactive BI dashboards on Power BI/Tableau etc. is a plus

Delhi

Gurgaon/Gurugram

Bhubaneshwar

Data Engineer - ETL Tools (3-6 yrs)

Job Description : - Capable of understanding and contributing to the technical solution from design through to code level. Must have done hands-on development work on React.JS, Java Springboot Microservices (including writing Restful Web Services), Kafka or similar, Redis or similar, and MS-SQL Server / Oracle Database. - Manage a team of developers through effecting coaching and mentoring techniques. - Working closely with Business Heads and Business Analysts to produce accurate delivery estimates and manage the transition from analysis through to design and delivery - Provide regular and effective progress updates to and work closely with Development Project Managers to ensure the management of any delivery risks or issues - Managing the delivery of multiple complex simultaneous system development projects from design through to release - Participate in reviews and meetings and provide updates on project progress - Ensure awareness, involvement and support from the key stakeholders and participants by building strong project teams and maintaining robust communication on the project status throughout its life cycle - Work closely with relevant teams internally to ensure alignment and coordination across operations as part of the seamless implementation of existing and new systems - Take responsibility for ensuring that risks and issues are identified and managed closely and drive all stakeholders to deliver on time and to the required quality standards - Supporting project resource scheduling and department capacity planning - Maintain high standards of software quality within the team by establishing good practices and habits. - Identify and encourage areas for growth and improvement within the team. - Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans. - Prepare reports, manuals and other documentation on the status, operation and maintenance of software. - Develop, refine, and tune integrations between applications, external corporate (ERP Systems) and other aggregators.

Java Tech Lead - Spring Boot (10-15 yrs)

Job Title: Data Quality Analyst Roles and Responsibilities : - Profile data and measure current quality levels and issues. - Propose and implement data quality monitors in Data Quality tool. - Identify, triage, and communicate potential data quality issues to stakeholders. - Work with technical teams to implement fixes to data quality issues - Develop and maintain data quality reporting and alerting mechanisms - Implement process improvements to enhance overall data quality - Work with Service Management teams to establish and monitor service level agreements, Provide data quality advisory services to projects and stakeholders - Provide data quality training and presentations to external clients and internal teams Required Skill Sets : - Experience working in AWS, Redshift, Atlan, MonteCarlo - Prior exposure to Data Observability, Monitoring, Lake Formations - Knowledge in SQL for purpose of data analysis/investigation - Work with the Data Product Owners, Data Analysts, and Data Engineers to help manage and deliver on the product technical roadmap for the data platform - Strong understanding of Data Quality and Data Governance fundamentals Preferred Qualifications : - Comfortable making decisions and leadingJob Title: Data Quality Analyst Roles and Responsibilities : - Profile data and measure current quality levels and issues. - Propose and implement data quality monitors in Data Quality tool. - Identify, triage, and communicate potential data quality issues to stakeholders. - Work with technical teams to implement fixes to data quality issues - Develop and maintain data quality reporting and alerting mechanisms - Implement process improvements to enhance overall data quality - Work with Service Management teams to establish and monitor service level

Chennai

Data Quality Analyst - SQL (4-10 yrs)

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