Lead Data Engineer

• Proven ability to independently deliver moderately complex data projects within a defined design.
• Strong proficiency in SQL (multi-join, window functions), Python, and Spark for building and maintaining data products.
• Experience working with modern data architectures, including Lakehouse (Bronze/Silver/Gold), star schemas, and data contracts.
• Experience working within a DevSecOps culture, including Git, CI/CD, and Test-Driven Development (TDD).
• Familiarity with data quality frameworks, data governance, and cost/efficiency considerations in cloud environments.
• Experience working in diverse global landscapes (business, technology, regulatory, and geography).
• Excellent interpersonal and communication skills; proven ability to turn rough requirements into clear, testable specifications.

• →Bachelor’s degree in computer science, Software Engineering, or equivalent professional experience.
• →6+ years of experience engineering and delivering enterprise scale data solutions.
• →Proven experience with Google BigQuery (BigQuery Studio) and Databricks (PySpark/Delta Lake) is required.
• →Familiarity with SAP data structures (S/4HANA), SAP BW and experience with replication tools like SAP SLT (System Landscape Transformation Server) is highly preferred.
• →Experience mentoring junior engineers, stewarding a practitioner community, and/or ensuring a team’s adherence to technical standards.

• Travel: 0%
• Location: IN, Bangalore - Hybrid Work Environment

Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

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