AWS Data Engineer
4 hours ago
Job Title:
AWS Data Engineer
Location:
Hyderabad (Flexible)
Experience Level:
6+ years
Essential Requirements
- 6–7 years of IT experience with minimum 3 years in Data Engineering / Data Architecture (data lakes, ingestion, extraction, transformation).
Strong hands-on expertise in AWS cloud technologies including:
AWS Lambda, S3, DynamoDB, EC2, ECS, ECR, CloudFormation
AWS Glue, Glue Catalog, Athena, DMS
Proficiency in Python and PySpark for data processing and automation.
- Solid experience with SQL and PL/SQL concepts.
- Experience in data ingestion, transformation, and orchestration pipelines.
- Hands-on experience in building data pipelines and applications to stream and process large datasets at low latencies.
- Exposure to Snowflake for cloud-based data warehousing.
- Self-starter with ability to quickly learn new technologies, multitask, and manage priorities effectively.
Key Responsibilities
- Design, develop, and maintain data pipelines and solutions leveraging AWS cloud services.
- Work on data ingestion, transformation, and orchestration frameworks to ensure scalability and performance.
- Implement best practices in data engineering, ensuring quality, security, and compliance with data regulations.
- Collaborate with architects and business stakeholders to design data lake / data warehouse solutions.
- Troubleshoot and optimize data pipelines for high availability and low-latency performance.
- Provide technical guidance on AWS services and data engineering frameworks to junior team members.
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