Description

Design and implement data ingestion pipelines and serverless applications within an AWS environment. You will build and maintain data lakes, warehouses, and analytics architectures.

Responsibilities

• Design and develop data ingestion pipelines on AWS.
• Build and maintain AWS-based data lakes and data warehouses.
• Develop serverless applications using AWS Lambda.
• Implement ETL/ELT processes for business analytics.
• Analyze and design data-driven system architectures.

Required Skills

• 5+ years of experience in data engineering.
• Hands-on experience with AWS Glue, EMR, and Spark.
• Proficiency with AWS S3, Athena, and Redshift.
• Experience managing RDS and DynamoDB databases.
• Working knowledge of CloudFormation for infrastructure.
• Experience with AWS Lambda, Step Functions, and API Gateway.
• Use of SQS, IAM, KMS, and Secrets Manager.
• Implementation experience with Elasticsearch.

Preferred Skills

• Experience with AWS-based business analytics workflows.

Key Skills

Education

Any Graduate