Description

You will design and manage data engineering solutions on AWS, focusing on ETL/ELT pipelines and data warehousing.

This role is on-site.

Responsibilities

• Design and develop ETL/ELT pipelines using AWS Glue and PySpark.
• Manage Amazon Redshift for data warehousing, including performance tuning and query optimization.
• Process large-scale data using Amazon EMR with Hadoop, Spark, Hive, and HDFS.
• Implement data lake architectures and handle structured/semi-structured data modeling.
• Write efficient SQL and Python code for data transformation and analytics.

Required Skills

• 8-10 years of experience in AWS Data Engineering.
• Expertise in AWS Glue, Amazon Redshift, and Amazon EMR.
• Proficiency in Python and SQL for data transformation.
• Hands-on experience with S3, IAM, Lambda, and CloudWatch.
• Strong understanding of data lake architectures and data modeling.
• Experience with ETL/ELT pipeline development.

Key Skills

Education

Any Graduate