Description

Design and maintain large-scale data pipelines and warehousing solutions on AWS.

This role is on-site.

Responsibilities

• Design and develop ETL/ELT pipelines using AWS Glue and PySpark.
• Optimize Amazon Redshift for performance, schema design, and query efficiency.
• Manage large-scale data processing using Amazon EMR with Hadoop, Spark, Hive, and HDFS.
• Implement data lake architectures and handle structured/semi-structured data.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in AWS Data Engineering services: Redshift, EMR, AWS Glue, S3, IAM, Lambda, CloudWatch.
• Proficient in SQL and Python programming for data transformation and analytics.
• Hands-on experience with Hadoop, Spark, Hive, and HDFS.
• Strong background in data modeling and data lake architectures.

Preferred Skills

• Experience with data automation tools.
• Bachelor's degree in a related field.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree