Description

Design and build enterprise data platforms, pipelines, and governance frameworks to support business intelligence and data science initiatives.

This role is on-site.

Responsibilities

• Design and develop enterprise-level data models, data lakes, and data warehouses.
• Build and maintain scalable data pipelines using PySpark and SQL.
• Manage data integration across core business applications and reporting platforms.
• Ensure data quality, metadata management, security, and governance practices.
• Collaborate with business, IT, and data science teams to deliver data-driven solutions.

Required Skills

• 4-6 years of experience in data engineering and data technology.
• Hands-on experience with Databricks, PySpark, SQL, and Oracle.
• Strong knowledge of Data Warehouse, Data Lake, and CDP architectures.
• Experience with cloud data platforms and API integrations.
• Proficiency in data modeling, data architecture, and data governance.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience in the Banking or Financial Services industry.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate