Description

You will design, develop, and maintain scalable data pipelines and ETL processes using AWS serverless technologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS serverless technologies.
• Build and optimize data solutions on Amazon Redshift for high-performance analytics.
• Develop and maintain backend services using Python and Node.js in a microservices architecture.
• Integrate AWS services such as Lambda, S3, DynamoDB, SQS, and SNS.
• Build serverless workflows using AWS Step Functions.

Required Skills

• 5+ years of experience in Data Engineering or Software Engineering.
• Strong expertise in SQL (complex queries, joins, window functions, performance tuning).
• Hands-on experience with Amazon Redshift and data warehousing solutions.
• Strong experience with AWS services (Lambda, S3, DynamoDB, SQS, SNS, Step Functions).
• Experience building serverless ETL pipelines.
• Proficiency in Python and working knowledge of Node.js.
• Experience with BI tools such as Tableau, QuickSight, or Looker.
• Exposure to AI / Generative AI technologies.
• Experience working in Agile environments.

Preferred Skills

• Experience integrating Redshift with AWS services such as Glue, Athena, and Kinesis.
• Exposure to DevOps tools and CI/CD pipelines.

Key Skills

Education

Bachelor's degree