Description

You will lead the design and development of scalable, secure data platforms and pipelines.

This role is hybrid.

Responsibilities

• Build and maintain scalable data pipelines and cloud data warehouses.
• Design architecture diagrams and data models to meet specific requirements.
• Oversee the development of interactive data visualizations and reports.
• Implement data quality initiatives, monitoring, and auditing processes.
• Ensure adherence to governance, accuracy, and engineering best practices.

Required Skills

• 10+ years of experience in cloud data warehousing and data engineering.
• Expert-level SQL proficiency, including complex queries, stored procedures, and performance optimization.
• Advanced experience with Snowflake and DBT.
• Hands-on experience with Python, PySpark, and Airflow (including DAG construction).
• Proficiency with AWS and Astronomer.
• Experience with Fivetran and Google Looker.
• Ability to handle unstructured datasets including Parquet, JSON, Avro, and XML.
• Strong understanding of CI/CD, DevOps practices, and software testing.

Preferred Skills

• Experience with Tableau or Power BI.
• Experience with Docker.

Key Skills

Education

Any Graduate