Senior Associate/Consultant - Data Engineering
Chryselys (company site, opens in a new tab)5–7 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain ETL/ELT pipelines and Data Warehouse solutions including data modeling and data quality mechanisms.
- Integrate data from multiple sources/vendors to provide holistic insights and perform exploratory data analysis for data issue resolution.
- Client interaction and mentoring junior team members.
Minimum Requirements
- 5-7 years of relevant industry experience as Data Engineer.
- Proficient in Python, Pyspark, SQL, Dataiku; strong experience with Snowflake, Databricks, Redshift, ADF, and cloud services like Azure and AWS.
- Bachelor's or Master's degree in Engineering, MCA, or equivalent.
- Strong domain knowledge in Pharma/life sciences commercial data; experience with Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales.
Ideal Candidate Profile
- Experienced data engineer with specialization in Pharma domain and commercial data operations.
- Proven ability to deliver end-to-end data management including data ops, governance, and quality in cloud-native environments.
- Capable of effective client communication and mentoring junior staff while supporting team collaboration.