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Mid-level data engineer in Bangalore, well-known brand and generalist skillset drives high applicant competition.
Databricks/Spark-focused data engineering transfers across industries but requires technical depth, so medium.
Mandated Databricks/Spark, Delta Lake, SQL/Python, and 5+ years creates stringent technical filters.
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Design, build, and operate scalable data pipelines and curated datasets powering enterprise analytics and AI use cases.
Ensure data pipeline quality, reliability, and operational readiness; make technical design decisions for complex pipelines and data models.
Mentor junior engineers and collaborate with product managers and BI teams to deliver reliable, governed, and reusable data assets.
5–8+ years of hands-on data engineering experience in enterprise environments.
Strong expertise in Databricks, Apache Spark, SQL, Python, and Azure cloud data platforms.
Experience with Delta Lake and lakehouse reliability patterns.
Work Experience Required: 5–8+ years of relevant experience.
Experienced in designing reusable transformation logic and scalable data models following engineering standards.
Proficient in CI/CD practices, automated data quality validation, and troubleshooting complex pipeline issues.
Has prior mentorship experience and ability to lead technical design discussions and collaborate across teams.