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Strong brand, metro Bengaluru location, and a mid-level generalist Databricks/Snowflake role increase competition.
Databricks, Snowflake, and PySpark skills are broadly transferable across industries, lowering background sensitivity.
Explicit 4+ years plus mandatory Databricks, Snowflake, PySpark, and Azure skills makes shortlisting strict.
Design, develop, optimize, and maintain large-scale data pipelines using Databricks (PySpark, Delta Lake) and Snowflake (SQL, ELT workflows) platforms.
Manage and tune Snowflake warehouses and Databricks environments for performance and cost efficiency, including scheduling and automation via Azure Data Factory/Synapse.
Collaborate with stakeholders to convert business requirements into technical data solutions supporting analytics, reporting, and enterprise initiatives.
Bachelor's degree in Computer Science, IT, or related field (or equivalent experience).
4+ years of experience in data engineering or big data development.
3+ years hands-on experience with Databricks, PySpark, Azure Data Engineering services.
3+ years hands-on experience with Snowflake development including Snowflake SQL, ELT processes, streams, tasks, and Snowpipe.
Experienced in cloud data architectures emphasizing Databricks and Snowflake integration using Azure ecosystem tools (ADF, Synapse).
Strong operational focus on scalable, high-performance data pipeline design and troubleshooting in production cloud environments.
Capable of stakeholder engagement to translate complex data needs into reliable, automated pipelines aligned with enterprise data governance.