Description

You will lead the design and development of data infrastructure solutions.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using AWS services and Snowflake.
• Build scalable data architectures to support analytics, reporting, and data science use cases.
• Perform data modeling (conceptual, logical, and physical) to optimize Snowflake performance.
• Automate workflows using orchestration tools like Airflow or AWS Step Functions.
• Monitor, optimize, and troubleshoot Snowflake performance, query tuning, and cost.

Required Skills

• 7+ years of relevant experience in data engineering.
• Strong expertise in Snowflake (schema design, clustering, query optimization).
• Proficiency with AWS services including S3, Glue, Redshift, Lambda, Kinesis, and Step Functions.
• Strong command of SQL and Python or PySpark.
• Solid understanding of data modeling techniques (3NF, Star Schema, Data Vault).
• Experience implementing ETL/ELT using tools like dbt or Informatica.
• Familiarity with CI/CD pipelines and Git version control.
• Knowledge of data security and governance best practices.

Key Skills

Education

Any Graduate