Description

You will design, build, and maintain scalable data pipelines and storage solutions to deliver data-driven insights across the organization.

This role is on-site.

Responsibilities

• Design and optimize scalable ETL/ELT processes across diverse database platforms.
• Architect data storage solutions ensuring reliability, security, and scalability.
• Leverage generative AI tools to enhance data engineering workflows and automation.
• Develop and enforce data quality standards, governance policies, and monitoring systems.
• Collaborate with Data Scientists and Analysts to fulfill specific data requirements.

Required Skills

• 5–8 years of experience in data engineering and managing large-scale data systems.
• Proficiency in Python, PySpark, and Pandas.
• Strong experience with SQL and ETL/ELT processes.
• Hands-on experience with BigQuery and Azure.
• Experience with NoSQL databases including MongoDB, Cassandra, and CosmosDB.
• Proven track record in data modeling and pipeline orchestration.
• Experience applying generative AI technologies to data workflows.

Preferred Skills

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Bachelor's or Master's degrees