Description

Key Skills: SQL, Python, PySpark, AWS, Snowflake, Data Pipelines, Data Integration, Data Quality

Good to Have Skills: Strong communication and collaboration skills, passion for data and continuous learning, analytical and problem-solving skills, ability to work independently and manage multiple priorities with minimal supervision, excellent data validation and quality assurance skills.

Roles & Responsibilities:

• Collaborate with data scientists to design, implement, and maintain 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 analytical and reporting purposes to support business decisions.
• Ensure data integrity, security, and compliance throughout the data lifecycle to maintain organizational standards.
• Automate workflows and production pipelines to improve operational efficiency and reduce manual intervention.

Experience Required: 2–4 years of experience in data engineering or a related field

Key Skills

Education

Any Graduate