Anblicks
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines in Snowflake to support data migration from legacy systems.
  • Leverage Python for data transformation, automation, and orchestration of migration workflows.
  • Optimize and refactor complex SQL queries to ensure efficient data processing and reporting in Snowflake.
  • Collaborate on data modeling and schema design to align with Snowflake architecture and performance best practices.
  • Monitor and troubleshoot data pipeline performance during and after migration phases.
  • Work closely with data analysts, scientists, and business stakeholders to ensure accurate and timely data delivery.
  • Implement and enforce data governance, security policies, and access controls within Snowflake.
  • Collaborate with DevOps teams to integrate data engineering workflows into broader CI/CD frameworks. 
Required Skills:
  • 4–6 years of experience in data engineering, with proven expertise in Snowflake and Python.
  • Strong command of Snowflake features such as scripting, time travel, virtual warehouses, and query optimization.
  • Hands-on experience with ETL tools, data integration strategies, and migration methodologies.
  • Solid understanding of data warehousing principles, normalization techniques, and performance optimization.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and orchestration tools.
  • Excellent problem-solving skills and ability to work independently in a dynamic, fast-paced environment.
  • Understanding of version control systems, particularly Git, including branching, merging, and pull request workflows 
  • Experience with Snowflake advanced features including Snowpipe, Streams, Tasks, and Stored Procedures.
  • Familiarity with ETL orchestration tools such as Airflow, DBT, or Matillion.
  • Ability to work with semi-structured data formats like JSON and Parquet.
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