Description

Key Skills: AWS, SQL, Python, AWS Lambda, Data Visualization, Data modeling, AWS S3

Roles and Responsibilities:

• Design and implement modern, scalable data pipelines, services, and data use cases on AWS.
• Develop, integrate, and automate data pipelines and platform services using Python and SQL.
• Operate and optimize the data platform, including cloud services, ensuring data security and governance.
• Provide consulting to IT and business teams on data modeling and data integration topics.
• Support data platform operations and improvements to improve reliability, performance, and cost efficiency.

Skills Required:

• 3-5 years of data engineering experience with Python and SQL, including data modeling
• AWS (hands-on experience with core AWS services used in data engineering)
• Python for building and automating data pipelines and services
• SQL for querying, transforming, and validating data
• Experience delivering production-grade pipelines with attention to scalability, performance, and data governance

Good to Have:

• AWS Lambda for event-driven data processing
• Data visualization experience to support analytics consumption
• Data modeling experience for designing reliable data structures
• AWS S3 for data storage and pipeline integration

Education: B.Tech / B.E. in Computer Science Engineering, Electrical and Computer Engineering, or Electronics and Computer Science (or equivalent)

Key Skills

Education

Any Graduate