Data Analytics Senior Integration Data Engineer
Solventum Corporation (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development, testing, and maintenance of scalable ETL data pipelines for healthcare data integration into Snowflake data warehouse.
- Use tools like AWS Glue, Fivetran, and Snowpipe to transform raw, disparate data into structured and reliable assets to support analytics and clinical insights.
- Monitor, troubleshoot, and optimize ETL jobs ensuring data quality, performance, and reliability, while documenting pipeline processes and collaborating with data architects.
Minimum Requirements
- Bachelor's Degree in Engineering, Computer Science, Information Systems, or a related field.
- 6+ years experience as an ETL Developer or Engineer including 4+ years with major ETL tools such as AWS Glue, Informatica, or Fivetran.
- 4+ years of advanced SQL experience involving complex queries and performance tuning ETL jobs.
- 1+ year of hands-on experience with Snowflake, including data loading features like Snowpipe.
Ideal Candidate Profile
- Experienced in working independently managing multiple ETL projects with strong troubleshooting and problem-solving skills in data warehousing environments.
- Deep familiarity with cloud-native ETL tools and pipelines, especially within AWS ecosystems and Snowflake data warehouses.
- Strong technical background in SQL, scripting (Python/Perl/Shell), and diverse data sources (Relational DBs, APIs, NoSQL).