Data Engineer

• Provide expertise in handling structured and unstructured data.
• Develop knowledge of key data sources and help integrate them to meet company goals.
• Lead technical aspects of clinical data flow, including APIs and data streams.
• Create data integrity and quality checks for data ingestion.
• Collaborate with database builders and programmers to ensure data accuracy.
• Offer technical support and troubleshoot system issues.
• Train internal and external teams on data transfer specifications.
• Continuously improve processes and efficiently handle large datasets.
• Ensure compliance with GCP regulations and review vendor activities.
• Assist in enabling data visualization software and perform data engineering tasks.

Experience: 6-8 years

Essential Skills:

• Building data pipelines for various data sources.
• Automating processes using cloud technologies (AWS, Azure).
• Creating and maintaining ELT/ETL pipelines for data warehouses and lakes.
• Coordinating with end-users and delivering accurate, quality data.
• Managing and troubleshooting data pipelines.
• Providing data visualization and analysis.
• Collaborating with vendors to streamline data integration