ByLocation: Mumbai, Maharashtra, India
Designation: AWS Data Engineer
Tags: Python, AWS, SQL, API, Django, FastAPI, Data Engineering, Data Warehousing, Big Data
Key Responsibilities:
- AWS Data Solutions: Design, develop, and deploy data pipelines and architectures using AWS services like Glue, Athena, and Redshift. Ensure solutions are scalable, efficient, and compliant with data security regulations.
- Data Modeling and Optimization: Develop efficient data models to support analytics and machine learning, optimizing storage and processing performance.
- Data Integration and Transformation: Integrate structured and unstructured data, transforming it into usable formats for analytics. Implement ETL processes using AWS services.
- Performance Tuning and Troubleshooting: Monitor data processing performance, optimize query execution, and resolve data-related issues.
- Collaboration: Work closely with data scientists, analysts, and business stakeholders to meet data needs. Communicate technical solutions to non-technical teams.
Key Requirements:
- Education: Bachelor’s degree in Computer Science, Engineering, or related fields.
- Experience: Proven experience in designing data solutions within AWS.
- Technical Skills: Proficiency in AWS services (S3, Glue, Athena, Redshift, EMR), Python, SQL, and ETL processes.
- Soft Skills: Strong problem-solving, analytical, communication, and collaboration skills.
This role involves working with advanced AWS technologies, driving business success through data-driven solutions. To apply, visit Exponentia.ai’s career page.
