CHENNAI · FULLTIME
AWS Data Engineer
Softview Infotech
Chennai · onsite · Posted 35d ago
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Not disclosed3–5 yrsfulltimeChennai
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Section · 01
About this role
Position: AWS Data Engineer
Experience: 3-5 Years
Location: Chennai, Bangalore
Key Skills: AWS Data Engineering, Python, Lambda
About The Role
We're looking for an experienced AWS Data Engineer to join a fast-paced data engineering team building scalable data solutions for our customers. In this role, you'll own the technical design, implementation, optimization, and maintenance of data engineering components — working across data warehouse, data lake, and lakehouse architectures on AWS. This is a hands-on role for someone who enjoys solving complex data problems and wants to work with modern cloud-native tooling.
Roles & Responsibilities
Experience: 3-5 Years
Location: Chennai, Bangalore
Key Skills: AWS Data Engineering, Python, Lambda
About The Role
We're looking for an experienced AWS Data Engineer to join a fast-paced data engineering team building scalable data solutions for our customers. In this role, you'll own the technical design, implementation, optimization, and maintenance of data engineering components — working across data warehouse, data lake, and lakehouse architectures on AWS. This is a hands-on role for someone who enjoys solving complex data problems and wants to work with modern cloud-native tooling.
Roles & Responsibilities
- Design, build, and maintain robust data pipelines across AWS data warehouse, data lake, and lakehouse environments.
- Develop and optimize batch and streaming pipelines using PySpark / Spark Scala for near real-time analytics.
- Build and orchestrate workflows using AWS services such as Glue, Lambda, Step Functions, Redshift, EMR, and Kinesis.
- Write and tune complex SQL queries, focusing on performance and scalability.
- Apply data governance best practices across data platforms and analytical solutions.
- Collaborate with cross-functional teams to translate business requirements into reliable, production-ready data solutions.
- Contribute to CI/CD pipelines and DevOps practices for data engineering components, using Git for version control.
- 3–5 years of hands-on experience designing, developing, and implementing data engineering solutions.
- Strong SQL development skills, including query optimization and performance tuning.
- Solid programming experience with Python.
- Proven experience building data pipelines with PySpark or Spark Scala, including streaming pipelines for near real-time use cases.
- Hands-on experience with AWS data engineering services — Glue, Lambda, Step Functions, Redshift, EMR, Kinesis, or similar.
- Working experience with at least one NoSQL database.
- Good grasp of modern data architecture patterns and current trends in data engineering.
- Understanding of data governance principles for data platforms and analytics.
- Experience with Git for source control and CI/CD pipelines for data engineering workloads.
- Strong analytical, problem-solving, communication, and collaboration skills.
- AWS certifications, especially in data engineering / data analytics.
- Experience with Amazon AppFlow, EKS, API Gateway, or additional NoSQL database services.
- Familiarity with BI/visualization tools such as Tableau or Power BI.
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Section · 02
Skills
Aws GlueAws LambdaApache SparkScalaaws kinesisamazon web servicesredshiftAws EmrAWS Step FunctionsPysparkData EngineeringPythonSQLGIT