We are looking for AWS Data Engineer with 8+ years of experience in designing and developing scalable AWS data pipelines, ETL solutions, and data lake architectures.
Key Responsibilities
Design and develop scalable data pipelines and ETL workflows on AWS.
Build batch and real-time data processing solutions using PySpark, Apache Spark, Spark Streaming, and Kafka.
Develop and optimize AWS Data Lake solutions using Apache Hudi / Apache Iceberg.
Build and manage data processing workflows using AWS Glue and Amazon EMR.
Automate infrastructure using Terraform and deploy applications using Docker and Amazon ECS.
Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AWS Data Engineering solutions
📌 Aws Data Engineer Pune
🏢 Tekpillar
📍 Pune
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.