Description

You will build and maintain scalable data pipelines and ETL processes in the cloud.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes in the cloud.
• Develop and optimize SQL queries for data extraction, transformation, and reporting.
• Build and maintain scripts and automation using Python.
• Integrate with and perform basic operations within Snowflake data warehouse.
• Monitor and optimize data pipeline performance, troubleshooting bottlenecks and recommending tuning improvements.

Required Skills

• 5+ years of hands-on experience as a Data Engineer or in a similar data-focused role.
• Strong SQL development skills and deep understanding of database design, indexing, and normalization.
• Expert-level proficiency in SQL (T-SQL, PL/SQL) and query optimization techniques.
• Strong experience with AWS cloud services (S3, Lambda, Glue, Redshift).
• Proficiency in Python for data engineering and automation tasks.
• Experience with Snowflake or similar modern cloud-based data platforms.
• Experience with Git and CI/CD tools for version control and deployment automation.
• Experience with orchestration tools such as Kubernetes and Airflow.
• Experience with large, complex datasets and enterprise-scale data environments.

Preferred Skills

• Familiarity with documentation and collaboration tools (Confluence, Jira).

Key Skills

Education

Any Gradute