Data Engineer
Design, build, and manage robust and scalable data pipelines (batch and real-time).
Develop ETL processes to acquire, transform, and integrate data from multiple sources.
Build and maintain data warehouses, data lakes, and other storage solutions.
Optimize data systems for performance, reliability, and scalability.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, consistency, and integrity across systems.
Implement data governance, privacy, and security best practices.
Monitor and troubleshoot data pipelines and flows, ensuring high availability.
Document data architecture, flows, and system designs.
Proficient in SQL and at least one programming language (Python, Java, or Scala).
Exp with ETL tools and workflow orchestration
Hands-on exp with cloud platforms AWS
Design, build, and manage robust and scalable data pipelines (batch and real-time).
Develop ETL processes to acquire, transform, and integrate data from multiple sources.
Build and maintain data warehouses, data lakes, and other storage solutions.
Optimize data systems for performance, reliability, and scalability.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, consistency, and integrity across systems.
Implement data governance, privacy, and security best practices.
Monitor and troubleshoot data pipelines and flows, ensuring high availability.
Document data architecture, flows, and system designs.
Proficient in SQL and at least one programming language (Python, Java, or Scala).
Exp with ETL tools and workflow orchestration
Hands-on exp with cloud platforms AWS