AWS Data Engineer
Summary
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
🚀 Hiring: AWS Data Engineer | In-Person Drive | 5th September
We're looking for an experienced AWS Data Engineer with expertise in AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark to build and optimize scalable data pipelines and cloud-based data solutions.
Location: Chennai
Experience: 4-8 Years
In-Person Drive: 5th September
Interested candidates please fill the forms and register yourself : AWS Data Engineer – Fill out form
CANDIDATES WHO ARE AVAILABLE FOR INPERSON (CHENNAI DLF) ONLY APPLY
Position Overview:
As a AWS Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-based data solutions within the AWS ecosystem. You will partner closely with engineering, analytics, and business stakeholders to build reliable, secure, and high-performing data platforms.
Key Responsibilities
- Design, develop, and maintain scalable data ingestion and transformation pipelines on AWS.
- Build and optimize ETL/ELT workflows using AWS Glue.
- Develop automation, orchestration, and data transformation solutions using Python.
- Design and support enterprise data warehousing solutions with Amazon Redshift and Snowflake.
- Develop and manage relational database solutions using Amazon RDS.
- Build high-performance NoSQL solutions using Amazon DynamoDB.
- Create serverless, event-driven applications using AWS Lambda.
- Ensure data quality, governance, security, and platform reliability.
- Optimize data architectures for performance, scalability, and cost efficiency.
- Collaborate with cross-functional teams to deliver business-focused data solutions.
We look forward to see you soon !!!
Cheers,
Talent Acquisition