Data Engineer:

5-8 Years experienced in Data Engineering.
Design, develop, and maintain scalable, highperformance data pipelines using SQL and PySpark in enterprise data platforms such as Databricks and Snowflake.
Build and optimize ETL/ELT processes to ingest, transform, and curate pharmaceutical data (e.g., sales, call activity, marketing, customer data).
Collaborate closely with subjectmatter experts, and business stakeholders to build reliable technical data solutions
Ensure data solutions meet quality, accuracy, and performance standards, including validation of outputs against defined expectations.
Apply structured project delivery and documentation practices to support endtoend execution.
Deliver technical components on time and within defined milestones, proactively managing risks and dependencies.
Display Good communication skills
Pharma domain knowledge is an added advantage

Data Engineer