AWS Data Engineer (Contract)
Saaki, Argus & Averil Consulting (company site, opens in a new tab)38+ yrsHyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted 11h ago
Reach people at Saaki, Argus & Averil Consulting
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Saaki, Argus & Averil Consulting you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and develop data ingestion and file processing pipelines using AWS Glue, Python, and PySpark.
- Build and schedule batch inbound/outbound processing leveraging Amazon S3, EventBridge, Lambda, SNS, and SQS for automation and integration.
- Implement operational monitoring and alerting strategies using Amazon CloudWatch and AWS orchestration services like Glue Workflows or Step Functions.
Minimum Requirements
- 3-8 years of experience in Python development and data engineering.
- Strong hands-on experience with AWS Glue, PySpark, and related AWS services (S3, Lambda, EventBridge, SNS, SQS, CloudWatch).
- Proficient in designing ETL pipelines, SQL, relational databases (Oracle, PostgreSQL, MySQL, or Amazon RDS).
- Work Experience Required: 3-8 years as specified in the JD.
Ideal Candidate Profile
- Demonstrated expertise in building scalable data pipelines and frameworks on AWS cloud platform.
- Experience integrating diverse data formats (JSON, XML, CSV, Excel, fixed-width) and REST/SOAP APIs.
- Comfortable applying AWS security best practices including IAM policies and encryption.