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Job Description
Structured overview of role & requirementsAbout This Role
Own backend data engineering tasks including ETL development and data modeling.
Design and implement data solutions primarily using Databricks, SQL, and AWS technologies.
Contribute to data solution design with an operational focus, supporting potential pharma domain projects.
Minimum Requirements
2-4 years of experience in backend data engineering with strong skills in ETL, data modeling, and solution design.
Proficiency in Databricks, SQL, and AWS is mandatory.
Work Experience Required: 2-4 years.
Preferred but not mandatory: experience with pharma domain, version control using Git, and reporting tools.
Ideal Candidate Profile
Experienced data engineer comfortable with cloud platforms, especially AWS and Databricks, and backend data workflows.
Capable of designing scalable data models and ETL pipelines with measurable impact on data solutions.
Responsive to a flexible and agile work environment emphasizing continuous learning and open collaboration.