Description

Key Skills: Data Engineering, Data Warehouse, Data Lake, CDP, Data Modeling, SQL, Oracle, Databricks, PySpark, Cloud Data Platforms, Data Governance, Data Integration

Roles & Responsibilities:

• Design and develop enterprise-level data platforms, data models, and data ecosystems.
• Manage data integration across core business applications and reporting platforms.
• Build and maintain data pipelines, data lifecycle processes, and data management solutions.
• Ensure data quality, metadata management, security, and governance practices.
• Work with business, IT, data science, and other teams to deliver data solutions.
• Analyze complex business problems and provide data-driven solutions.
• Support project delivery, stakeholder management, and continuous improvement initiatives.
• Explore and implement new data technologies and solutions.

Experience Required:

• 4-6 years of experience in data engineering and data technology.
• Strong experience with Data Warehouse, Data Lake, CDP, and database technologies.
• Hands-on experience with SQL, Oracle, Databricks, and PySpark.
• Experience with cloud data platforms and API integrations.
• Knowledge of data modeling, data architecture, and data governance.
• Strong communication and stakeholder management skills.
• Experience in Banking/Financial Services industry is preferred.

Education: Master's in Technology / IT, B.E., or B.Tech

Key Skills

Education

Any Graduate