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Tier-1 brand, metro Bengaluru, popular Data Engineer role with broad Databricks/Snowflake skills increases competition.
Requires deep Databricks, Spark and cloud data platform experience, limiting cross-industry transferability.
Strong Databricks/Spark/Snowflake/Azure requirements increase technical filtering despite no explicit years requirement.
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Design, develop, and maintain Databricks-based ETL pipelines using Apache Spark within a cloud architecture.
Optimize Databricks jobs, clusters, and workflows for performance, reliability, and cost efficiency.
Support production stability and L4-level troubleshooting for critical data pipelines in collaboration with cross-functional agile teams.
Strong experience with Databricks, Apache Spark SQL / PySpark / Scala.
Hands-on experience in ETL pipeline development and distributed data processing frameworks.
Experience with Snowflake, data warehousing concepts, and Azure cloud platform.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data engineer skilled in building scalable, production-grade data pipelines in cloud environments.
Proficient in optimizing distributed data processing performance and troubleshooting complex data systems.
Familiar with financial domain data platforms and modern CI/CD/data quality frameworks is a plus.