Description

Key Responsibilities

• Design, develop, maintain, and enhance scalable enterprise data pipelines and data products.
• Develop data ingestion, transformation, and integration solutions using modern data engineering technologies.
• Work with Azure and Databricks to build and support cloud-based data solutions.
• Implement data quality, governance, and data lineage standards across data platforms.
• Perform data modeling and optimize pipelines for performance, reliability, and scalability.
• Troubleshoot data pipeline and platform issues and provide production support.
• Participate in testing, deployment, release, and continuous improvement activities.
• Collaborate with data architects, analysts, developers, engineers, and business stakeholders.
• Follow established engineering standards, development methodologies, and best practices.
• Support cloud modernization and enterprise data platform initiatives.

Required Qualifications

• Strong hands-on experience in Data Engineering.
• Experience building and maintaining enterprise-scale data pipelines.
• Strong knowledge of ETL/ELT, data ingestion, transformation, and integration.
• Hands-on experience with Databricks.
• Strong experience with Microsoft Azure data services and cloud platforms.
• Experience implementing data quality, governance, and lineage.
• Knowledge of data modeling and data platform architecture.
• Experience with performance optimization for large-scale data pipelines.
• Experience supporting production data environments and resolving operational issues.
• Strong troubleshooting, communication, and collaboration skills.

Preferred Qualifications

• Experience supporting enterprise-scale data and analytics platforms.
• Experience with cloud modernization initiatives.
• Experience working in Agile/Scrum development environments.
• Experience with Dev/Test/Production deployment practices.
• Experience collaborating with both technical teams and business

Key Skills

Education

Any Gradute