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Tier-1 brand, Hyderabad metro location, and broad Databricks/AWS skillset increase competition.
Core data engineering skills transfer across industries, though pharma domain knowledge is a moderate differentiator.
Explicit 9+ years plus many mandatory technologies and leadership experience make filters strict.
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Lead design and implementation of scalable end-to-end data engineering solutions using Spark, Python, SQL, and Apache Airflow.
Architect and optimize large-scale data platforms primarily on AWS (S3, Glue, Redshift, Lambda) and Databricks with focus on performance, scalability, and cost-efficiency.
Mentor data engineering teams and establish best practices including CI/CD with GitHub Actions to deliver business value.
9+ years of experience in data engineering, including leadership roles.
Strong hands-on skills with SQL, Python, Apache Spark, Apache Airflow, and AWS cloud services (S3, Glue, Redshift, Lambda).
Experience with Databricks platform, including Unity Catalog and access control.
Bachelor’s or Master’s degree in Computer Science or related discipline.
Experienced technical leader capable of managing and mentoring engineering teams in a complex, data-driven environment.
Proficient in modern data architectures including Lakehouse, data modeling (conceptual, logical, physical), and big data systems.
Skilled in building enterprise-level, production-ready data platforms with strong emphasis on scalability, security, and automation.