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Metro location, popular data-engineer role, and broad skill requirements create moderate competition.
Core data engineering skills are transferable, though pharma governance and MDM increase domain specificity.
Explicit 7+ years requirement plus mandatory AWS, Databricks, PySpark and data-modeling expertise.
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Build and maintain scalable data models and pipelines using AWS native technologies to support multiple business functions and digital products.
Ensure data quality through reconciliation processes and monitoring for accuracy and availability for stakeholders and downstream systems.
Collaborate closely with cross-functional AGILE SCRUM teams and enterprise groups to design, deploy, and support integrated data solutions in AWS environments.
Bachelor’s Degree in Engineering, Computer Science, or related field.
Minimum 7 years of experience in data engineering, software development, data warehousing, data lake/mesh, and data product support.
Strong expertise in data integration, data modeling, modern database technologies (GraphQL, SQL, No-SQL, Python, PySpark), and AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming).
Role based in Bengaluru, India with ability to attend regional/global meetings as required.
Experienced in working within AGILE SCRUM teams and familiar with tools like JIRA and Confluence, emphasizing cross-functional collaboration.
Skilled in complex schema design, dimensional modeling, SQL optimization, and infrastructure deployment adhering to DevSecOps and security standards.
Proven ability to partner with enterprise architecture, security, and cloud teams to deliver scalable, governed data platforms supporting digital transformation.