Senior Data Engineer II
Elsevier (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, build, and operation of scalable, reliable data pipelines for content ingestion and report generation in the Libra system handling large volumes of data.
- Own cloud infrastructure in AWS to host, monitor, scale services, and optimize cost and performance.
- Mentor engineers, set engineering standards, drive data quality, observability, governance, and contribute to broader platform architectural decisions.
Minimum Requirements
- 6+ years professional experience in data engineering with proven track record building scalable data platforms and services.
- Strong skills in SQL, Python, Airflow, Data Warehousing, Snowflake, AWS (including Glue), ETL/ELT, and Git.
- Experience leading end-to-end technical delivery of complex projects including design, implementation, and production support.
- Work Experience Required: Minimum 6 years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working with large-scale content management and big data platforms, preferably with cloud infrastructure (AWS) expertise.
- Demonstrated leadership in technical delivery and architectural decision-making within teams or across teams.
- Proven ability to drive outcomes in ambiguous problem spaces and set engineering standards for quality and scalability.