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Elsevier

Software Engineer III

🇮🇳 Chennai, Tamil Nadu 🕑 Full-Time 💰 TBD 💻 Software Engineering 🗓️ August 24th, 2026
Python Snowflake

Edtech.com's Summary

Elsevier is hiring a Software Engineer III in Chennai to join the Sales & Marketing Data Analytics team, building data pipelines and analytical solutions in Snowflake and DBT that power global sales and marketing insights.
Highlights
  • Design and maintain data pipelines in Snowflake and DBT
  • Strong SQL and database modelling required
  • CI/CD experience preferred (Jenkins or equivalent)
  • Exposure to AWS, Airflow, Terraform, Python/Java a plus

Software Engineer III Full Description

Are you a Software Engineer looking for an innovative role? Do you enjoy being part of a team that works with a diverse range of technology?

About our Team
Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. This role sits within the Sales & Marketing Data Analytics team, part of the wider Digital Business Solutions (DBS) group. The team provides the analytical foundations that drive sales performance and marketing effectiveness, supporting Opportunities and Agreements data warehouses on the Sales side and a Contacts data warehouse on the Marketing side.

About the Role
As a Software Engineer III at Elsevier, you will design, build, and maintain high-quality data pipelines and analytical solutions that power insights for global sales and marketing teams, working closely with product owners, database architects, and data analysts.

Responsibilities
  • Collaborate with product owners and analysts to translate business requirements into technical solutions
  • Design, build, and maintain robust data pipelines and transformations in Snowflake and DBT
  • Develop and uphold data modelling best practices, ensuring scalability and maintainability
  • Participate in code reviews, providing constructive, high-quality feedback
  • Identify and resolve performance bottlenecks, data quality issues, and reliability gaps
  • Stay current with evolving technologies, including AI and LLMs, and assess their applicability to team challenges

Requirements
  • Solid experience in data warehousing, with hands-on Snowflake and DBT expertise
  • Strong SQL skills and experience in database modelling and design
  • Familiarity with agile development tools such as Jira and Confluence
  • Experience with CI/CD practices (preferably Jenkins or equivalent)
  • Desirable: working knowledge of AWS cloud services and Apache Airflow, infrastructure-as-code (Terraform), Python and/or Java, and exposure to AI/ML tooling or LLM-based solutions