Job Description & How to Apply Below
* Role: AWS Data Engineer
Experience : 5+ Years
Work Mode : Chennai - 4 Days (WFO)
Location :
Chennai, Tamil Nadu
Job Description
Design, develop, and optimize scalable data pipelines using Python / PySpark.
Work extensively with Amazon Web Services (AWS) to build robust, scalable, and secure data solutions.
Develop and manage data workflows using Apache Airflow / Amazon MWAA (Managed Workflows for Apache Airflow).
Implement data ingestion and streaming solutions using Amazon Kinesis and Apache Kafka.
Build and maintain ETL/ELT pipelines using AWS Glue, Amazon EMR, or Apache Spark.
Write complex and optimized queries using Amazon Redshift, Amazon Athena, and advanced SQL.
Design and implement scalable data storage solutions using Amazon S3 and AWS data services.
Automate infrastructure provisioning and deployment using Terraform.
Develop serverless data-processing solutions using AWS Lambda.
Configure and manage AWS Glue Jobs, Event Bridge schedules, monitoring dashboards, Cloud Watch alerts, and notifications.
Ensure data quality, reliability, scalability, security, and performance across data pipelines.
Collaborate with cross-functional teams including Analytics, Product, Dev Ops, and Business teams.
Implement and maintain CI/CD pipelines for data engineering workflows and infrastructure.
Follow AWS best practices for IAM, security, cost optimization, high availability, and fault tolerance.
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