Description

Design, build, and maintain scalable data pipelines to support analytical and reporting needs.

This role is on-site.

Responsibilities

• Collaborate with data scientists to design and implement scalable data pipelines for analytical purposes.
• Ingest and integrate data from diverse sources, ensuring accuracy and consistency throughout the process.
• Clean, transform, and prepare data for reporting and business decision-making.
• Automate workflows and production pipelines to improve operational efficiency and reduce manual intervention.
• Ensure data integrity, security, and compliance throughout the data lifecycle.

Required Skills

• 2–4 years of experience in data engineering or a related field.
• Proficiency in SQL and Python.
• Experience with PySpark for data processing.
• Hands-on experience with AWS cloud services.
• Working knowledge of Snowflake.
• Strong understanding of data pipelines, data integration, and data quality principles.
• Ability to work independently and manage multiple priorities with minimal supervision.

Preferred Skills

• Excellent data validation and quality assurance skills.
• Strong communication and collaboration skills.

Key Skills

Education

Any Graduate