
Data Engineer – Redshift to Snowflake Migration
6 days ago
About the Role
We are looking for an experienced Data Engineer to lead the migration of our data platform from Amazon Redshift to Snowflake. This role involves re-engineering existing data logic, building efficient pipelines, and ensuring seamless performance optimization in Snowflake.
Key Responsibilities
- Analyze and extract existing data logic, queries, and transformations from Redshift.
- Rewrite and optimize SQL queries and data transformations in Snowflake.
- Design and implement ETL/data pipelines to migrate and sync data (S3 to Snowflake using Snowpipe, bulk copy, etc.).
- Ensure high performance through Snowflake-specific optimizations (clustering, caching, warehouse scaling).
- Collaborate with cross-functional teams to validate data accuracy and business requirements.
- Monitor, troubleshoot, and improve ongoing data workflows.
Required Skills & Experience
- 5 – 8 years of experience in Data Engineering
- Strong SQL expertise in both Redshift and Snowflake.
- Proven experience in data migration projects, specifically Redshift to Snowflake.
- Hands-on experience with ETL/data pipeline development (using Python, Airflow, Glue, dbt, or similar tools).
- Solid understanding of AWS ecosystem, particularly S3 to Snowflake ingestion.
- Experience in performance tuning and optimization within Snowflake.
- Strong problem-solving skills and ability to work independently.
Nice to Have
- Experience with dbt, Airflow, AWS Glue, or other orchestration tools.
- Knowledge of modern data architecture and best practices.
Work Mode: Initially remote for 1–2 months, then onsite in Pune.
Job Types: Full-time, Permanent
Pay: Up to ₹1,800,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Education:
- Bachelor's (Required)
Experience:
- Redshift: 2 years (Required)
- Snowflake: 2 years (Required)
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