Role Overview:
A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable reliable data analysis and reporting.
Key Responsibilities:
Design, develop, and maintain data pipelines and ETL processes
Build and manage data warehouses and databases
Ensure data accuracy, consistency, and availability
Optimize data systems for performance and scalability
Collaborate with Data Analysts and Data Scientists
Implement data security and governance standards
Monitor and troubleshoot data pipeline issues
Required Skills:
Strong knowledge of SQL and Python
Experience with ETL tools and data pipelines
Understanding of big data technologies (Spark, Hadoop)
Experience with cloud platforms (AWS, Azure, or GCP)
Problem-solving and debugging skills
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or related field
5+ years of experience in data engineering (preferred)