Top Tech Jobs & Startup Jobs in Chennai

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Databricks, Data Factory, Spark, PySpark, SQL, and HPCC ECL. Ingests and transforms structured and semi-structured data from multiple sources, builds data models using Delta Lake and Parquet, and improves workload performance. Collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics, reporting, and operational needs.

Designs end-to-end user experiences for complex, data-rich enterprise platforms, primarily Elsevier’s Salesforce-based editorial systems. Responsibilities include user research, workflow mapping, information architecture, wireframing, prototyping, usability testing, high-fidelity UI design, design-system contribution, accessibility compliance, and post-launch feedback analysis. The role collaborates with product, engineering, editorial stakeholders, and global UX teams in an Agile environment.

Develop and support Salesforce solutions for global sales and editorial teams. Provide user and stakeholder support, analyze business requirements, monitor integrations, troubleshoot complex issues, document processes, support UAT, and contribute to scalable platform enhancements aligned with Sales and Marketing objectives.

Own product features from concept through delivery, develop product plans, translate customer needs into requirements, prioritize issues and defects, and collaborate with engineering, design, sales, marketing, and finance stakeholders. The role also leads product demonstrations, supports production issue resolution, identifies feature opportunities, and enhances digital and back-office platforms.

Own product features from concept through delivery, develop product plans, translate customer needs into requirements, prioritize defects and enhancements, coordinate cross-functional teams, resolve production issues, and demonstrate progress to stakeholders. The role supports digital and back-office platforms used by Sales, Marketing, and Finance.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Runs multilingual AI quality evaluations, coordinates reviewer networks, and maintains terminology infrastructure including term bases, style guides, and language assets. Presents quality findings and recommendations to AI product and localization teams, supports stakeholders with evaluation and terminology processes, and collaborates across product, content, data science, and GenAI evaluation functions in a global matrixed environment.

Lead software development for complex, scalable products using Python, AI/LLM tools, RAG pipelines, AWS, and Microsoft SQL Server. Responsibilities include designing, enhancing, and troubleshooting software; resolving customer issues; contributing to planning and estimation; developing reusable components; sharing technical knowledge; mentoring colleagues; and collaborating across teams while applying Agile, Scrum, and security engineering practices.

Develop, maintain, and enhance software solutions in cross-functional teams. Diagnose and resolve complex technical issues, support customer-reported problems, contribute to application design and reusable components, assist with planning and estimation, and mentor colleagues. Build AI-enabled applications using Python, LLM APIs, RAG pipelines, agentic orchestration, and structured extraction. Work with Microsoft SQL Server, AWS cloud services, security engineering principles, and modern software development practices.

Design, build, and maintain scalable ETL/ELT data pipelines and data platforms on AWS. Manage structured and unstructured data, optimize performance, implement security and governance, monitor pipelines, and collaborate with data science, analytics, and BI teams within Agile processes.