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Innovatily is looking to hire Data Architect who are available to spend few hours a week and will be responsible for designing, implementing, and maintaining scalable and high-performance data solutions to support the organizations strategic objectives. This role combines deep technical expertise in data modeling, data integration, and database technologies with an understanding of business processes and data governance best practices. Key Responsibilities : - Data Architecture Design : Develop and maintain enterprise-wide conceptual, logical, and physical data models. Define data standards, data flows, and integration patterns across systems. Establish best practices for data storage, access, and security. - Database & Data Warehouse Management : Design and oversee the implementation of relational and non-relational databases. Plan and manage data warehouse and data lake architectures. Optimize database performance, partitioning, and indexing strategies. - Data Integration & ETL : Design data integration workflows to connect disparate systems (ERP, CRM, third-party APIs). Oversee the development of ETL pipelines, ensuring data accuracy and consistency. Work closely with data engineers and BI developers to enable reporting and analytics. - Data Governance & Quality : Define and implement data governance policies, metadata management, and data lineage tracking. Establish data quality frameworks and monitor compliance. Ensure adherence to data privacy regulations (GDPR, CCPA, etc.). - Collaboration & Stakeholder Engagement : Partner with business units, analysts, and engineering teams to understand data requirements. Translate business needs into scalable technical solutions. Provide technical leadership, mentorship, and guidance to data engineering teams. - Emerging Technologies & Continuous Improvement : Evaluate and recommend new tools, platforms, and technologies. Drive the adoption of modern data architectures (e.g., cloud-native, serverless, streaming). Promote best practices for continuous integration, deployment, and monitoring. Qualifications : Education & Experience : - Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field. - 8+ years of experience in data architecture, data engineering, or database design roles. - Proven experience with cloud platforms (AWS, Azure, GCP) and data services (Redshift, BigQuery, Snowflake). - Expertise in SQL and NoSQL databases, data modeling, and performance tuning. Skills & Competencies : - Strong understanding of data warehousing concepts, star and snowflake schemas. - Proficiency in ETL tools (e.g., Informatica, Talend, Apache NiFi, dbt). - Knowledge of data governance frameworks and tools (Collibra, Alation, Apache Atlas). - Familiarity with big data technologies (Spark, Hadoop, Kafka). - Excellent communication skills to translate complex technical concepts for business stakeholders. - Problem-solving mindset with a focus on delivering high-quality, scalable solutions. Preferred Qualifications : - Professional certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or equivalent. - Experience designing real-time streaming pipelines and event-driven architectures. - Exposure to machine learning data pipelines and MLOps. Key Attributes for Success : - Strategic thinker with a passion for data-driven decision-making. - Ability to work cross-functionally in a fast-paced environment. - Strong leadership and mentoring capabilities. - Detail-oriented and committed to high standards of data integrity.

Bangalore

Innovatily - Data Architect - ETL/Data Warehousing (8-10 yrs)

Role Overview : We are looking for a proactive and experienced Salesforce Admin cum Developer to join our team and manage the day-to-day administration and development needs of our Salesforce platform. The ideal candidate will have a strong grasp of Salesforce flows, process automation, security, user management, and light custom development using Apex, LWC, or Visualforce. You will be working closely with cross-functional teams to ensure the platform scales with our business needs, while maintaining high reliability and user satisfaction. We need someone who has "been there, done that" - a professional with initiative, judgment, and a solid track record of improving systems and processes using Salesforce best practices. Key Responsibilities : Administration & Configuration : - Manage users, roles, profiles, sharing rules, permission sets, and data access policies. - Configure and maintain standard and custom objects, fields, page layouts, record types, and validation rules. - Build, manage, and optimize Flow Builder processes, approval processes, and automation via Process Builder (transitioning legacy where needed). - Set up and maintain Salesforce dashboards and reports to support data-driven decision-making. Development & Customization : - Design and develop scalable custom solutions using Apex, LWC, Visualforce, and APIs, with a strong preference for declarative solutions when possible. - Support smallto mid-level customization projects including triggers, batch jobs, scheduled classes, and integrations with 3rd-party tools. - Participate in the development lifecycle including requirements gathering, solution design, testing, deployment, and support. Platform Management : - Conduct regular system audits, release management, and sandbox refreshes. - Monitor performance and security of the Salesforce org; ensure compliance with internal governance standards. - Collaborate with stakeholders (Sales, Customer Success, Operations, etc.) to translate business needs into actionable Salesforce solutions. - Serve as a subject matter expert (SME) for Salesforce across the organization. Requirements : Must-Have Skills : - 4+ years of experience as a Salesforce Administrator and/or Developer. - Strong knowledge of Salesforce Flows, security model, and core admin features. - Proven experience with Salesforce development tools (Apex, SOQL, LWC/Visualforce). - Hands-on experience integrating Salesforce with external systems via REST/SOAP APIs. - Excellent problem-solving and communication skills; comfortable working independently. - Salesforce Administrator Certification (ADM 201) is mandatory. - Salesforce Platform Developer I certification preferred. Good-to-Have : - Experience with version control and CI/CD tools (e., Git, Copado, Gearset). - Familiarity with tools like Data Loader, Workbench, and Field Trip. - Prior work in B2B SaaS or fast-paced startup environments.

Innovatily - Salesforce Administrator/Developer - Apex/Visual Force (4-8 yrs)

About the job : We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimize performance, and lead a high-performing team to deliver data-driven insights. Technical Leadership : The core responsibilities for the job include the following : - Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. - Drive the adoption of modern data engineering frameworks, tools, and methodologies to ensure high-quality and scalable solutions. - Translate complex business requirements into effective data pipelines, architectures, and workflows. Data Pipeline Development : - Architect, develop, and optimize scalable ETL/ELT pipelines using Apache Spark, Hive, AWS Glue, and Trino. - Handle complex data workflows across structured and unstructured data sources, ensuring performance and cost-efficiency. - Develop real-time and batch processing systems to support business intelligence, analytics, and machine learning applications. Cloud And Infrastructure Management : - Build and maintain cloud-based data solutions using AWS services like S3 Athena, Redshift, EMR, DynamoDB, and Lambda. - Design and implement federated query capabilities using Trino for diverse data sources. - Manage Hive Metastore for schema and metadata management in data lakes. Performance Optimization : - Optimize Apache Spark jobs and Hive queries for performance, ensuring efficient resource utilization and minimal latency. - Implement caching and indexing strategies to accelerate query performance in Trino. - Continuously monitor and improve system performance through diagnostics and tuning. Collaboration And Stakeholder Engagement : - Work closely with data scientists, analysts, and business teams to understand requirements and deliver actionable insights. - Ensure that data infrastructure aligns with organizational goals and compliance standards. Data Governance And Quality : - Establish and enforce data quality standards, governance practices, and monitoring processes. - Ensure data security, privacy, and compliance with regulatory frameworks. Innovation And Continuous Learning : - Stay ahead of industry trends, emerging technologies, and best practices in data engineering. - Proactively identify and implement improvements in data architecture and processes. Requirements : - Advanced proficiency with Apache Spark (core, SQL, streaming) for large-scale data processing. - Strong expertise in Hive for querying and managing structured data in data lakes. - In-depth knowledge of Trino (Presto) for federated querying and high-performance SQL execution. - Solid programming skills in Python with frameworks like PySpark and Pandas. - Hands-on experience with AWS Glue, including Glue ETL jobs, Glue Data Catalog, and Glue Crawlers. - Deep understanding of data formats such as Parquet, ORC, Avro, and their use cases. - 8+ years of experience in building data pipelines from scratch in large data volume environments - AWS certifications, such as AWS Certified Data Analytics or AWS Certified Solutions Architect. - Experience with Kafka or Kinesis for real-time data streaming would be a plus. - Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. - Knowledge of CI/CD pipelines and DevOps practices for data engineering. - Prior experience with data lake architectures and integrating ML workflows. - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. - 8+ years of experience in data engineering with a minimum of 2 years in a leadership role. Cloud Proficiency : - Expertise in AWS services, including S3 Redshift, Athena, EMR, DynamoDB, and IAM. - Experience designing scalable and cost-efficient cloud-based data solutions. Performance Tuning : - Strong ability to optimize Apache Spark jobs, Hive queries, and Trino workloads for distributed environments. - Experience with advanced techniques like partitioning, bucketing, and query plan optimization. Leadership And Collaboration : - Proven experience leading and mentoring data engineering teams. - Strong communication skills, with the ability to interact with technical and non-technical stakeholders effectively.

Data Engineering Lead - Apache Spark/Hive (8-10 yrs)

Innovatily specialises in providing IT services dedicated to providing innovative and efficient solutions to our clients. We pride ourselves on delivering cutting-edge technology solutions that empower businesses to thrive in the digital era. Key Responsibilities : - CI/CD Pipeline Management : Design, implement, and manage CI/CD pipelines for automated build, test, and deployment. - Infrastructure as Code (IaC) : Use tools like Terraform, CloudFormation, or Pulumi to provision and manage cloud infrastructure. - Cloud Operations : Deploy and manage cloud environments (AWS/GCP/Azure), ensuring high availability and performance. - Monitoring and Logging : Set up monitoring, alerting, and logging systems (e.g, Prometheus, Grafana, ELK, Datadog). - Security & Compliance : Implement best practices for infrastructure security, vulnerability scanning, and access management. - Containerization & Orchestration : Work with Docker and Kubernetes (or ECS, EKS, GKE) to deploy and scale applications. - Collaboration : Work closely with development, QA, and product teams to align infrastructure with application needs. Qualifications : Must-Have :. - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience in a DevOps or SRE role. - Proficiency with at least one major cloud provider (AWS/GCP/Azure). - Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI. - Solid scripting skills (Bash, Python, or Go). - Experience with infrastructure as code and configuration management tools (e.g, Ansible, Terraform, Helm). - Strong understanding of networking, DNS, load balancing, and firewalls. Nice-to-Have :. - Experience with service meshes (Istio, Linkerd). - Knowledge of zero-downtime deployment strategies. - Familiarity with incident response and disaster recovery procedures. - Certifications in cloud platforms or DevOps tools. Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and teamwork. - Ability to work in a fast-paced, agile environment. - Self-driven and proactive in identifying and addressing challenges.

DevOps Engineer - Site Reliability (3-5 yrs)

Key Responsibilities :. - Develop and maintain server-side applications using Node.js, Express.js, and other similar frameworks. - Design and implement RESTful APIs and WebSockets for seamless communication between front-end and back-end. - Work with databases such as MongoDB, PostgreSQL, or MySQL for data management. - Optimize applications for scalability, performance, and security. - Collaborate with front-end developers and other team members to integrate user-facing elements with server-side logic. - Debug and troubleshoot issues in applications and provide efficient solutions. - Write clean, maintainable, and well-documented code following best practices. - Implement authentication and authorization mechanisms (JWT, OAuth, or other security protocols). - Work with cloud services like AWS, Azure, or Google Cloud for deployment and scaling. - Stay updated with industry trends and suggest improvements in technologies and methodologies. Requirements :. - 3 - 5 years of experience in Node.js development. - Strong knowledge of JavaScript (ES6+), TypeScript (preferred). - Experience with Express.js, Nest.js, or similar frameworks. - Proficiency in working with NoSQL and SQL databases. - Knowledge of microservices architecture and API development. - Familiarity with Docker, Kubernetes, and CI/CD pipelines. - Experience with unit testing and debugging. - Understanding of version control systems like Git/GitHub/GitLab. - Good understanding of security best practices in web applications. - Excellent problem-solving and communication skills. Nice to Have :. - Experience with GraphQL. - Knowledge of message brokers (RabbitMQ, Kafka). - Exposure to DevOps and monitoring tools (Prometheus, ELK stack). - Prior experience working in Agile/Scrum environments.

Backend Developer - Node.js/Express.js (3-5 yrs)

About the job : - Deep hands-on experience in designing & developing Python based applications - Hands-on experience building database-backed web applications using Python based frameworks - Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments - Experience building client-side and server-side API-level integrations in Python - Experience in containerization and container orchestration systems like Docker, Kubernetes, etc. - Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana) - Development experience with modern JavaScript based front end frameworks, especially Vue.js - Experience in test automation and TDD - Experience testing interactive applications with unit testing frameworks for the various technology stacks - Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc. - Experience in using project management tools like Jira, Azure DevOps etc. - Expertise in Cloud based development and deployment using cloud providers like AWS or Azure Skills : Python, Django, Amazon Web Services (AWS), Windows Azure and DevOps

Python Developer (3-5 yrs)

Fullstack Lead : As a Fullstack Lead at Innovatily, you will lead the architecture, development, and delivery of fullstack web applications. You will serve as a technical mentor, hands-on engineer. The ideal candidate is highly skilled across modern frontend and backend technologies, comfortable in cloud-native environments, and passionate about leading high-performance, cross-functional teams. Key Responsibilities : - Technical Leadership: Architect scalable, secure, and maintainable web applications across frontend and backend. - Team Management & Mentorship: Guide and mentor a team of fullstack, frontend, and backend developers. - Agile & Project Delivery: Collaborate with Product Managers and Designers to translate product roadmaps into well-defined sprints and user stories. - DevOps & Production: Define and implement CI/CD pipelines, deployment workflows, and monitoring strategies. Required Technical Skills : - Frontend: Deep experience with modern JS frameworks such as React (preferred), Angular, or Vue.js; Next.js or similar SSR frameworks is a plus. - Backend: Strong expertise in Node.js (Express/Koa/Nest), Python (Django/FastAPI), or similar server-side stacks. - Databases: Proficient with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases. - APIs: RESTful API design, GraphQL APIs, third-party integrations. - Cloud & DevOps: AWS/GCP, Docker, Kubernetes, Terraform, Jenkins/GitHub Actions, serverless (Lambda). - Testing: Unit, Integration, and E2E testing with Jest, Cypress, Postman, or equivalent. - Version Control: Git (GitHub/GitLab), Git branching strategy, code ownership. - Security & Compliance: Familiarity with common security risks (OWASP) and implementation of secure coding practices. Qualifications & Experience : - 8+ years of professional software development experience. - 3+ years in a leadership or team lead capacity in agile environments. - Proven experience leading large-scale web application development projects. - Strong understanding of full product lifecycle from concept to deployment and iteration. - Demonstrated ability to balance hands-on coding with architecture, planning, and mentoring. - Excellent verbal and written communication skills clarity in design documents, PRs, and stakeholder communication.

Innovatily - Full Stack Lead - Node.js/Next.js (8-10 yrs)

Company Description : Founded in 2020, Innovatily is a fast-growing team specializing in digital services, including software development, AI, data analytics, and more. With expertise in data science, mobile app development, and AI/ML solutions, we focus on creating impactful and innovative solutions for organizations of all sizes. Position Overview : We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimise performance, and lead a high-performing team to deliver data-driven insights. Key Responsibilities : Technical Leadership : - Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. - Drive the adoption of modern data engineering frameworks, tools, and methodologies to ensure high quality and scalable solutions. - Translate complex business requirements into effective data pipelines, architectures, and workflows. Data Pipeline Development : - Architect, develop, and optimize scalable ETL/ELT pipelines using Apache Spark, Hive, AWS Glue, and Trino. - Handle complex data workflows across structured and unstructured data sources, ensuring performance and cost-efficiency. - Develop real-time and batch processing systems to support business intelligence, analytics, and machine learning applications. Cloud & Infrastructure Management : - Build and maintain cloud-based data solutions using AWS services like S3, Athena, Redshift, EMR, DynamoDB, and Lambda. - Design and implement federated query capabilities using Trino for diverse data sources. - Manage Hive Metastore for schema and metadata management in data lakes. Performance Optimization : - Optimize Apache Spark jobs and Hive queries for performance, ensuring efficient resource utilization and minimal latency. - Implement caching and indexing strategies to accelerate query performance in Trino. - Continuously monitor and improve system performance through diagnostics and tuning. Collaboration & Stakeholder Engagement : - Work closely with data scientists, analysts, and business teams to understand requirements and deliver actionable insights. - Ensure that data infrastructure aligns with organizational goals and compliance standards. Data Governance & Quality : - Establish and enforce data quality standards, governance practices, and monitoring processes. - Ensure data security, privacy, and compliance with regulatory frameworks. Innovation & Continuous Learning : - Stay ahead of industry trends, emerging technologies, and best practices in data engineering. - Proactively identify and implement improvements in data architecture and processes. Qualifications : Required Technical Expertise : - Advanced proficiency with Apache Spark (core, SQL, streaming) for large-scale data processing. - Strong expertise in Hive for querying and managing structured data in data lakes. - In-depth knowledge of Trino (Presto) for federated querying and high-performance SQL execution. - Solid programming skills in Python with frameworks like PySpark and Pandas. - Hands-on experience with AWS Glue, including Glue ETL jobs, Glue Data Catalog, and Glue Crawlers. - Deep understanding of data formats such as Parquet, ORC, Avro, and their use cases. - Expertise in AWS services, including S3, Redshift, Athena, EMR, DynamoDB, and IAM. - Experience designing scalable and cost-efficient cloud-based data solutions. - Strong ability to optimize Apache Spark jobs, Hive queries, and Trino workloads for distributed environments. - Experience with advanced techniques like partitioning, bucketing, and query plan optimization. Education & Experience : - Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. - 8+ years of experience in data engineering with a minimum of 2 years in a leadership role. Qualifications : - 8+ years of experience in building data pipelines from scratch in large data volume environments. - AWS certifications, such as AWS Certified Data Analytics or AWS Certified Solutions Architect. - Experience with Kafka or Kinesis for real-time data streaming would be a plus. - Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. - Knowledge of CI/CD pipelines and DevOps practices for data engineering. - Prior experience with data lake architectures and integrating ML workflows.

Innovatily - Lead Data Engineer (8-10 yrs)

About Innovatily : - Innovatily is a dynamic B2B software development company, specializing in delivering cutting-edge AI, cloud, data analytics, web, and mobile solutions. - We pride ourselves on our tailored approach to technology, ensuring our clients receive solutions that drive their success. - What's exciting with us: We are venturing into the uncharted territory of using BI to build an exciting world of meaningful discourse. What's exciting with us :We are venturing into the uncharted territory of using BI to build an exciting world of meaningful discourse. What we are looking for : - We're looking for Technical Project Managers who not only understands the technology but can also translate technical concepts into clear, actionable strategies. - Your ability to bridge the gap between technical teams and business objectives will be key. - You should be equally comfortable discussing technical details with engineers as you are providing project updates to stakeholders. - Your strategic thinking, leadership of cross-functional teams, and problem-solving skills under pressure will be key to success for this role. As a Technical Project Manager, you will : - Serve as the key link between innovative technology and business goals. - Forefront to translate complex technical requirements into actionable plans, guiding a talented team to deliver high-quality solutions that not only meet but exceed expectations. - Manage the entire project lifecycle - from initial concept to final delivery. You will be a great fit for us if you have : - 7+ years of project management experience, ideally in the data engineering space, with a proven track record of delivering successful ETL and data engineering projects. - You should be comfortable working in environments leveraging AWS and Spark. - A strong technical background is essential, with in-depth knowledge of AWS services (e.g , S3, EMR, Lambda, Glue, Redshift) and Apache Spark. - You should be skilled in building robust data pipelines, designing ETL frameworks, and navigating distributed data processing systems. Agile Methodology: Hands-on experience with agile frameworks (Scrum, Kanban) and leading agile teams is essential. - You'll need to foster collaboration, ensure that the project stays on track, and adapt to changes while maintaining high standards of delivery. What we offer : We're committed to offer a collaborative environment where innovation thrives, personal growth is supported, and success is a shared achievement.

Innovatily - Technical Project Manager - Scrum/Kanban (7-10 yrs)

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