Delivery Manager-Snowflake data engineer
Acuity Analytics (company site, opens in a new tab)10–15 yrsGurugramOn-siteDirect career pageEst. 25–40 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable Snowflake data solutions including databases, schemas, warehouses, and workload management.
- Build and manage end-to-end data pipelines with tools like dbt, Python, Airflow/ADF, ensuring performance tuning, data governance, and secure access.
- Take full ownership of design, development, deployment, and support of Snowflake data engineering initiatives with minimal oversight, collaborating with architects and stakeholders.
Minimum Requirements
- 10–12 years of hands-on data engineering experience with at least 6 years dedicated to Snowflake.
- Bachelor's degree in Engineering (B.E./B.Tech), MCA, MBA in Information Systems, Computer Science or related field.
- Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer) required.
- Experience with SQL, Python, cloud data ecosystem (Azure/AWS), dbt, Airflow/ADF, REST/SOAP API integration, and enterprise platform connectivity.
Ideal Candidate Profile
- Deep technical expertise in Snowflake architecture, Medallion data modeling, and cloud-native integrations ensuring scalable and cost-efficient solutions.
- Proven ability to independently own complex Snowflake data engineering projects end-to-end in enterprise environments, preferably with financial domain exposure.
- Experienced in DevOps practices including CI/CD workflows, code reviews, and automated deployment within Snowflake and cloud ecosystems.