Delivery Manager-Snowflake Data Engineer
Acuity Knowledge Partners (company site, opens in a new tab)10–15 yrsGurugramOn-siteDirect career pageEst. 30–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize Snowflake data architectures, including databases, schemas, warehouses, and advanced features like Snowpipe and Materialized Views.
- Develop and manage end-to-end scalable data pipelines using dbt, Python, Airflow/ADF, ensuring data quality, governance, and secure access.
- Own full lifecycle of data engineering initiatives from design through deployment and support, collaborating closely with architects, analysts, and stakeholders.
Minimum Requirements
- 10-12 years of data engineering experience with at least 6 years dedicated to Snowflake.
- B.E./B.Tech/MCA/MBA in Information Systems, Computer Science, or related field.
- Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer) is mandatory.
- Experience with SQL, Python, dbt, Airflow/ADF, REST/SOAP API integration, and cloud platforms (Azure or AWS).
Ideal Candidate Profile
- Deep expertise in Snowflake platform architecture, optimization, and troubleshooting with self-driven capability to own complex data solutions end-to-end.
- Experience implementing Medallion data architecture and integrating Snowflake with enterprise systems including CRM/ERP and cloud services.
- Strong background in financial domain data requirements is preferred but not mandatory.