Sr. Associate / Consultant / Manager (Data Engineering)
Chryselys (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 7–12 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, maintain, and optimize ETL/ELT pipelines for pharma data sources to enable integrated data insights.
- Perform exploratory data analysis, troubleshoot data issues, and implement data quality mechanisms to ensure data accuracy.
- Develop and manage data solutions including data models and ETL processes, while applying best practices and documentation for efficiency.
Minimum Requirements
- 4+ years of relevant industry experience as Data Engineer.
- Bachelor’s or Master’s degree in Engineering, MCA, or equivalent.
- Hands-on experience with SQL, Python, PySpark, and AWS services (S3, Glue, Lambda, CloudWatch, Athena).
- Working experience in pharma domain and familiarity with Dataiku and Snowflake.
Ideal Candidate Profile
- Experienced in managing complex data engineering tasks within the pharma sector, with focus on ETL optimization and data quality.
- Comfortable working with cloud-native data platforms, especially AWS, and proficient in programming for data workflows.
- Capable of independently troubleshooting data issues and proactively documenting processes to improve team efficiency.