Snowflake Data Engineer
1 week ago
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Snowflake and cloud technologies.
- Develop and optimize Snowflake database structures such as warehouses, schemas, tables, streams, tasks, and secure data sharing.
- Implement data ingestion from various sources using tools such as ADF, dbt, Kafka, or equivalent.
- Write efficient SQL queries and Stored Procedures (Snowflake Scripting / JavaScript UDFs).
- Implement best practices including data quality, data validation, and governance standards.
- Work closely with Data Architects, Analysts, and BI teams to support reporting and analytical requirements.
- Troubleshoot performance issues and apply Snowflake performance optimizations like micro-partitioning, clustering, and caching.
- Manage secure access controls and data sharing following security/compliance policies.
- Participate in CI/CD and DevOps for data workloads using Git, Terraform, etc.
- Support workload migration from legacy systems to Snowflake.
Required Skills
- 5+ Years of experience as a Data Engineer or similar role.
- Strong hands-on experience with Snowflake, including:
- Snowflake architecture & features (compute/storage)
- Virtual warehouses & resource optimization
- Streams, Tasks, Time Travel & Zero Copy Cloning
- Strong SQL expertise with large datasets.
- Experience with cloud platforms: Azure / AWS / GCP (any one mandatory).
- Expertise in ETL/ELT tools (ADF, dbt, Informatica, Talend, etc.).
- Strong knowledge of Python or Scala for data processing.
- Familiarity with CI/CD: Git, Azure DevOps, Jenkins, Terraform, etc.
- Experience working with structured and semi-structured data (JSON, Parquet).
- Snowflake certification (SnowPro Core/Advanced).
- Experience with DataOps, automation, and monitoring tools.
- Exposure to data modeling and medallion/lakehouse architecture.
- Experience working in Agile environments.
Skillset:
MS SQL
Number Of Open Position:
1
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