[India] Data Engineer I Pharma
ProcDNA (company site, opens in a new tab)4–8 yrsGurugramOn-siteDirect career pageEst. 9–16 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain robust, reusable data querying, transformation, and visualization pipelines to support business analytics.
- Integrate multiple data sources into unified visualizations and dashboards, collaborating with UX/UI teams to deliver best-in-class customer solutions.
- Engage directly with customers and platform leaders to understand business problems, ensure data governance, and align analytics solutions with enterprise platforms.
Minimum Requirements
- 4-8 years of experience in data warehousing and data engineering.
- Hands-on experience with ETL tools such as Azure Data Factory (ADF), Databricks, and Informatica.
- Proficient with data pipeline and workflow management tools like Azkaban, Luigi, or Airflow.
- Experience with data warehouses: SQL/NoSQL databases, Amazon Redshift, Snowflake, Apache Hive, HDFS.
Ideal Candidate Profile
- Strong understanding of pharmaceutical industry datasets (e.g., LAAD, DDD, XPO) and commercial analytics in life sciences.
- Proven ability to design enterprise data warehouse solutions from scratch, indicating strategic and technical leadership.
- Experienced in applying data governance and quality management frameworks within analytics implementations.