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Tier-1 brand, mid-level data role in Gurgaon with in-demand cloud data skills raises candidate competition.
Requires niche Snowflake and Databricks expertise, limiting cross-industry transferability.
Specific 4+ years requirement plus mandatory Databricks and Snowflake expertise enforces strict shortlisting.
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Design, develop, and optimize large-scale data pipelines using Databricks (PySpark, Delta Lake) and Snowflake platforms.
Manage and tune performance of Databricks notebooks, workflows, Snowflake SQL, pipelines including ETL/ELT flows and warehouse optimization.
Collaborate cross-functionally with data engineers, analysts, architects, and stakeholders to deliver scalable, cost-efficient cloud data solutions ensuring documentation and compliance.
Bachelor's degree in Computer Science, IT, or related field (or equivalent experience).
4+ years overall 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, Snowflake SQL, and ELT development.
Proven expertise in building and maintaining scalable ETL/ELT pipelines integrating Databricks, Snowflake, and Azure Data Factory/Synapse.
Experienced in performance tuning and cost governance across Snowflake virtual warehouses and Databricks Delta Lake environments.
Strong ability to troubleshoot complex pipeline errors and implement solutions within enterprise data architecture and governance frameworks.