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Popular Data Engineer role, Hyderabad metro, early-mid level, and broad stack requirements increase candidate competition.
Core data engineering skills transfer across industries, but US-pharma CDW and MDM preferences raise domain specificity.
Explicit minimum experience and specific data stack requirements make screening moderately strict.
Design, build, and maintain efficient, reusable, and reliable Python code for data transformations, focusing on performance and quality.
Identify and resolve issues related to application performance, quality, and data processing workflows.
Maintain code quality, organization, and automation, while expanding domain knowledge through continuous research.
Minimum 2 years of Python programming experience, including data transformations using PySpark.
Experience with SQL queries, Snowflake, Databricks, Azure Blob Storage, and AWS.
Preferred experience with Commercial Data Warehouse (CDW) in US Pharmaceuticals market and supporting HCP/HCO data management and MDM.
Work Experience Required: At least 2 years of relevant programming and data management experience.
Experienced with US pharmaceutical data environments, specifically Commercial Data Warehouse and healthcare provider/organization data management.
Skilled in applying Python and PySpark within cloud and big data platforms like Snowflake, Databricks, and Azure or AWS services.
Analytical and problem-solving focus with ability to manage complex data pipelines and transformation workflows.