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Tier-1 pharma brand, mid-level generalist data role, metro location, and broad skillset increase competition.
Data engineering skills transfer across industries though healthcare domain preference increases specificity.
Explicit 3–5 years requirement plus specific data platform and tooling requirements make shortlisting strict.
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Design, build, and optimize scalable data pipelines for structured and unstructured data sources.
Collaborate on data architecture and apply data modeling techniques to support analytics and reporting.
Manage and optimize relational and non-relational databases ensuring high performance and reliability.
Bachelor’s degree in Computer Science, IT, Data Science, or related field.
3–5 years of experience in data engineering or related roles.
Experience with SQL, big data technologies (Spark, Hadoop, Kafka), cloud platforms (AWS, Azure, or Google Cloud), and programming in Python and/or Java.
No visa sponsorship; based in Hyderabad; hybrid flexible working arrangement; no travel required.
Experienced in building and maintaining complex data ecosystems supporting analytics and decision-making.
Skilled in collaborating with cross-functional teams including data scientists, analysts, and business stakeholders.
Familiar with modern data platforms, cloud data services, data governance, and Agile development environments.