Quadrangle Reviews by Employees

Big Data Architect Exp : 12-18 years Location : Noida/Gurgaon/Indore/Bangalore/Pune Job Description : Position Summary : We are looking for candidates with hands on experience in Big Data and Cloud Technologies. Must have technical Skills : - 10+ Years of experience - Expertise in designing and developing applications using Big Data, DWH, Cloud technologies, ETL,SQL Must Have - Expertise and hands-on experience- on Spark, and Hadoop echo system components Must Have - Expertise and hand-on experience- of any of the Cloud (AWS/Azure/GCP) Must Have - Good knowledge of Shell script & Java/Python - Good knowledge of migration projects on Hadoop - Good to Have - Good Knowledge of one of the Workflow engine like Oozie, Autosys Good to Have - Good knowledge of Agile Development - Good to Have - Passionate about exploring new technologies - Must Have - Automation approach - Good to Have Responsibilities : - Define Data Warehouse modernization approach and strategy for the customer - Align the customer on the overall approach and solution - Design systems for meeting performance SLA - Resolve technical queries and issues for team - Work with the team to establish an end-to-end migration approach for one use case so that the team can replicate the same for other iterations Its WFO all the 5days Please share below details and updated CV if you would like to take your candidature ahead for this role : - Current CTC : - Expected CTC : - Notice Period : - Reason for job change :

Pune

Delhi NCR

Bangalore

Indore

Gurgaon/Gurugram

Noida

Big Data Architect (12-18 yrs)

Responsibilities : - Minimum 8 years of total experience in enterprise application development & support. - Required experience working with the following technologies : Python, Django Framework, PostgreSQL, and MySQL. - Strong consideration for the candidate with serverless experience on AWS. - Strong consideration for the candidate with third-party integration experience. - Minimum 2 Years of experience in developing applications running on AWS or some other cloud - Quick learner with the ability to understand a product's functionality end to end - Interest in trying bleeding-edge technologies to provide POC, which will be evaluated and put into use if approved - Experience with Strong knowledge of algorithms, design patterns, and fundamental computer science concepts & data structures - Experience working in Agile methodologies (SCRUM) environment and familiar with iterative development cycles - Experience implementing authentication, authorization with OAuth, and use of Single Sign-On, SAML-based authentication - Strong communication skills - oral and verbal - Ability to work with various stakeholders across various geographies - Excellent Team player as well as an Individual Contributor if required - Master's or bachelor's degree, preferably from an Engineering Background

Senior Python Engineer - Django Framework (7-12 yrs)

Responsibilities: - 10+ years of experience in the role of managing and implementation of high-end software products. - Define product releases, features, and roadmap for Java/J2EE Applications. - Collaborate with product teams and client stakeholders on defining product objectives, including creating a product roadmap, delivery, and stakeholder inputs. - Drive the Agile ceremonies with the team, define epics, user stories, acceptance criteria. - Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail. - Experience in working within a distributed agile teams. - Experience in working in ODC model and capable of presenting the Technical. Design and Architecture to Senior Technical stakeholders. - Should have experience in defining the project and delivery plan for each assignment. - Capable of doing resource allocations as per the requirements for each assignment. - Good communication skills.

Technical Project Manager (11-16 yrs)

Job Description : - Ability to design, build and unit test applications on Spark framework on Python. - Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and NoSQL databases as well. - Develop and execute data pipeline testing processes and validate business rules and policies - Optimize performance of the built Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD's. - Optimize performance for data access requirements by choosing the appropriate native Hadoop file formats (Avro, Parquet, ORC etc) and compression codec respectively. - Ability to design & build real-time applications using Apache Kafka & Spark Streaming - Build integrated solutions leveraging Unix shell scripting, RDBMS, Hive, HDFS File System, HDFS File Types, HDFS compression codec. - Build data tokenization libraries and integrate with Hive & Spark for column-level obfuscation - Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources. - Create and maintain integration and regression testing framework on Jenkins integrated with BitBucket and/or GIT repositories - Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings - Work collaboratively with onsite and offshore team. - Develop & review technical documentation for artifacts delivered. - Ability to solve complex data-driven scenarios and triage towards defects and production issues - Ability to learn-unlearn-relearn concepts with an open and analytical mindset - Participate in code release and production deployment. - Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment

Anywhere in India/Multiple Locations

Data Engineer - PySpark/SQL/ETL (7-11 yrs)

Job Description : - 7-10 years of good hands on exposure with Big Data technologies - PySpark (Data frame and SparkSQL), Hadoop, and Hive. - Good hands on experience of python, Bash Scripts. - Good understanding of SQL and data warehouse concepts - Strong analytical, problem-solving, data analysis and research skills - Demonstrable ability to think outside of the box and not be dependent on readily available tools - Excellent communication, presentation and interpersonal skills are a must Cloud Skills : - Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) - Orchestration with Airflow and Any job scheduler experience - Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Roles & Responsibilities : - Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. - Perform integration testing of different created pipeline in AWS env.- - Provide estimates for development, testing & deployments on different env. - Participate in code peer reviews to ensure our applications comply with best practices. - Create cost effective AWS pipeline with required AWS services i.e S3, IAM, Glue, EMR, Redshift etc. Mandatory Skills : PySpark, AWS Years Of Experience : 7-10 Years Education/Qualification : BE / B.Tech / MCA / M.Tech

Lead Data Engineer- PySpark/AWS (7-11 yrs)

Job Description : - 6-12 years of good hands on exposure with Big Data technologies - pySpark (Data frame and SparkSQL), Hadoop, and Hive. - Good hands on experience of python, Bash Scripts. - Good understanding of SQL and data warehouse concepts - Strong analytical, problem-solving, data analysis and research skills - Demonstrable ability to think outside of the box and not be dependent on readily available tools - Excellent communication, presentation and interpersonal skills are a must Cloud Skills : - Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) - Orchestration with Airflow and Any job scheduler experience - Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Roles & Responsibilities : - Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. - Perform integration testing of different created pipeline in AWS env. - Provide estimates for development, testing & deployments on different env. - Participate in code peer reviews to ensure our applications comply with best practices. - Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc. Mandatory Skills : Pyspark, AWS Years Of Experience : 8 to 10 Years Education/Qualification : BE / B.Tech / MCA / M.Tech

Lead Data Engineer - Python/Pyspark (6-12 yrs)

Job Description : Mandatory Skills : Kubernetes, Kafka, Continuous Delivery, Continuous Improvement, Ansible, Python, Docker, Cluster, Large Scale Infrastructure, Prometheus - DevOps Architect with 12-16 years of experience - Expert on setting up K8s clusters for large scale infrastructure - Expert or at least aware of Ansible, Prometheus, Open Telemetry, Logstash, Kafka, Elastic Search setup and administration perspective (if not aware of any particular thing, should be able to learn quickly) - Having hands on experience on infrastructure, security, monitoring for enterprise applications and knowledge of what options are appropriate for different scenarios will be needed. - Hands on experience on setting up CICD pipelines. - Must have extensive experience on deploying the microservices/web-application on Kubernetes platform. - Should be capable to design CICD and release management process. - Must be familiar with security and DevOps best practices on K8s platform. - Good concept on Docker and orchestration tools. - Ability to explore DevOps tools/technologies and guide in taking decision on it. - Must have exposure to python or shell scripting and familiar with Linux OS. - Must have exposure to observability tools. - Ability to analyze logs for error and exceptions - Ability to drill down errors at application level etc. - Should be familiar with various monitoring tools - Splunk/Kibana/Grafana/Prometheus etc. - General operational exposure such as good troubleshooting skills, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks. - Strong verbal and written communication skills are mandatory. - Excellent analytical and problem-solving skills are mandatory. - Good knowledge of Agile or Scrum methodologies - Should be self-motivated and able to lead Devops team.

Metros

DevOps Architect - Ansible/Kubernetes (12-18 yrs)

"A leading global fintech company specializing in banking software solutions." We are seeking a highly experienced Senior Software Architect to lead the design and development of scalable, high-performance financial technology solutions. The ideal candidate will have a deep understanding of distributed systems, cloud computing, and modern software architectures. They will play a critical role in shaping the technical vision, driving architectural excellence, and mentoring engineering teams. The role requires defining, challenging, and implementing functional and non-functional requirements and liase with project stakeholders to ensure high quality and timely delivery of a Digital Cloud platform(s). Key Responsibilities of the Role : - Design and develop distributed architectures for high-availability fintech applications with SaaS approach. - Lead cloud-native development, leveraging Kubernetes, and AWS services. - Architect and implement event-driven and microservices-based systems. - Write code to develop and maintain secure, scalable, and resilient applications. - Define, develop and challenge application design strategies. - Enable teams to follow effective development workflows. - Engineer with DevSecOps best practices, ensuring efficient CI/CD pipelines and deployment strategies. - Provide technical leadership and mentor engineering teams on software design principles. - Collaborate with product, business, and engineering teams to translate requirements into scalable solutions. - Ensure Product Quality including TDD, Contract test, JUnit, etc. - Effective technical presentation to stakeholders.

Senior Architect - Distributed Systems (15-22 yrs)

Job Description : - 12-20 years of experience in the role of managing and implementing of high-end software products. - Expertise in Java/ J2EE or EDW/SQL OR Hadoop/Hive/Spark and preferably hands-on. - Good knowledge- of any of the Cloud (AWS/Azure/GCP) - Must Have - Managed/ delivered and implemented complex projects dealing with considerable data size (TB/ PB) and with high complexity - Experience in handling migration projects - Good to Have - Data Ingestion, Processing and Orchestration knowledge Roles & Responsibilities : - Technical program managers (TPMs) are in charge of handling all aspects of technical projects. - This is a multi-dimensional and multi-functional role. - You will need to be comfortable reporting program status to executives, as well as diving deep into technical discussions with internal engineering teams and external partners. - You should collaborate with, and leverage, colleagues in business development, product management, analytics, marketing, engineering, and partner organizations. - You have to manage multiple projects and ensures all releases on time. - You are responsible for manage and deliver the technical solution to support an organization's vision and strategic direction. - The technology program manager delivers the technical solution to support an organization's vision and strategic direction. - You should be capable to working with a different type of customer and should possess good customer handling skills. - Experience in working in ODC model and capable of presenting the Technical Design and Architecture to Senior Technical stakeholders. - Should have experience in defining the project and delivery plan for each assignment - Capable of doing resource allocations as per the requirements for each assignment

Technical Project Manager - Java/Big Data (12-20 yrs)

Job Description : - 8-12 years of good hands on exposure with Big Data technologies - pySpark (Data frame and SparkSQL), Hadoop, and Hive. - Good hands on experience of python, Bash Scripts. - Good understanding of SQL and data warehouse concepts - Strong analytical, problem-solving, data analysis and research skills - Demonstrable ability to think outside of the box and not be dependent on readily available tools - Excellent communication, presentation and interpersonal skills are a must Cloud Skills : - Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) - Orchestration with Airflow and Any job scheduler experience - Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Roles & Responsibilities : - Develop efficient ETL pipelines as per business requirements, following the development standards and best practices. - Perform integration testing of different created pipeline in AWS env. - Provide estimates for development, testing & deployments on different env. - Participate in code peer reviews to ensure our applications comply with best practices. - Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc. Mandatory Skills - Pyspark, AWS

Hyderabad

Lead Software Engineer - PySpark/AWS (8-13 yrs)

Job Description : - 10+ years overall IT experience - 5+ years of experience in technical project management, with a focus on DevOps, platform operations, and cloud infrastructure. - Strong understanding of DevOps methodologies, tools, and best practices (CI/CD, Docker, Kubernetes, Terraform, Ansible, Jenkins, etc.). - Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation. - Good to have experience in Data Platform and Data Pipeline Management - Experience in managing SRE teams - Proven experience in managing cross-functional teams and collaborating with multiple stakeholders. - Excellent leadership, organizational, and communication skills. - Experience providing technical support and incident management in production environments. - Project Management Professional (PMP), Agile (Scrum Master), or relevant certifications are a plus. - Familiarity with security best practices Roles & Responsibilities : Project Management : - Lead, plan, and execute DevOps projects, ensuring alignment with customer goals and objectives. - Define project scope, objectives, deliverables, and timelines in collaboration with stakeholders. - Develop detailed project plans, manage risks, and monitor progress. - Ensure project deliverables meet quality standards and are delivered on time and within estimated effort. Team Leadership : - Manage and mentor the DevOps team, providing guidance on technical challenges and career growth. - Foster a collaborative and productive team environment by encouraging continuous learning and improvement. - Collaborate with cross-functional teams such as development, QA, operations, and security to ensure seamless project execution. CI/CD Pipeline Management : - Oversee the design, implementation, and optimization of continuous integration and continuous delivery (CI/CD) pipelines. - Ensure automation of deployment processes, reducing manual intervention and improving release cycles. - Work closely with development teams to integrate automated testing, security scanning, and monitoring in the CI/CD process. Platform Management : - Provide oversight and management of infrastructure platforms, ensuring availability, reliability, and scalability. - Collaborate with infrastructure teams to manage cloud environments (AWS, Azure, GCP) and optimize platform performance. - Ensure proactive platform monitoring, incident management, and problem resolution. Technical Support : - Provide technical support and guidance to the DevOps and platform teams during critical incidents or escalations. - Serve as an escalation point for complex technical issues, ensuring timely resolution and post-incident reviews. - Collaborate with the support teams to improve incident management processes and reduce mean time to resolution (MTTR). Stakeholder Management : - Serve as the main point of contact for project stakeholders, ensuring clear communication of project status, risks, and issues. - Manage stakeholder expectations and ensure alignment with business goals and priorities. - Provide regular updates on project progress, risks, and roadmaps to senior management. Resource & Budget Management : - Identify resource needs and allocate appropriate team members for project tasks. - Coordinate with management for recruitment and resource planning based on project requirements. - Ensure efficient utilization of team resources and budget control throughout the project lifecycle. Process Improvement : - Identify opportunities for process improvements within the DevOps and platform teams to enhance operational efficiency. - Standardize and document DevOps processes, methodologies, and tools to ensure consistency across projects. - Stay up-to-date with industry trends and emerging technologies, recommending new tools and practices that enhance DevOps and platform capabilities.

DevOps Technical Lead - Docker/Kubernetes (12-20 yrs)

Job Description : - Experience in architecture & design and consulting services, focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data - Experience in defining and designing the data governance, data management and data security solutions for an enterprise across business verticals - Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP - Knowledge of market insight, technology trends and competitor intelligence - Experience in proposal management (RFP/RFI/RFQ etc.) Roles & Responsibilities : - Develop overall solutions including architecture, high-level design, statements of work, service design and bills of materials. - Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor. - Develop use case demonstrations and proofs of concept in collaboration with sales, customers and Impetus implementation teams - Lead technical responses to RFI/RFP - Create thought leadership through presenting at conferences, summits and events, writing, user group presentations and community involvement. - Stay abreast of technology developments relevant to Impetus and its competitors - Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery

Presales Architect - Data Platform (12-20 yrs)

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