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Our client, a leading global specialist in energy management and automation is looking to engage with a Consultant.
Key responsibilities
• ETL pipeline development and delivery within defined timelines
• Performance optimization of Spark/Glue jobs and SQL queries
• Data pipeline reliability and reduction in production issues
• AWS infrastructure automation using Terraform and CI/CD best practices
• Code quality, test coverage, and adherence to development standards
• Monitoring, logging, and incident resolution efficiency using CloudWatch
• Successful implementation of secure IAM and cross-account access controls
• Contribution to scalable data lake and governance initiatives
Duration: 6 months
Location: Bangalore – Avinya Campus
Hybrid Model: 3 days WFO and 2 days WFH
-5+ years of experience in ETL design, development, and business system design
-Good understanding of AWS networking concepts including VPCs, subnets, routing, NAT gateways, and security groups
-Proficiency in IAM concepts such as roles, policies, assume-role, and cross-account access
-Hands-on experience with AWS services including S3, KMS, Lambda, Glue (or Spark), SQS, and EventBridge
-Experience in writing clean, modular, testable, and maintainable code using functional and/or OOP principles
-Strong programming experience in at least one language such as Python, Scala, or Java
-Willingness to learn Python/PySpark if not already experienced
-Good understanding of Spark architecture, execution plans, and performance tuning
-Strong SQL skills with experience in Redshift, Athena, or other distributed compute engines
-Experience in writing and maintaining Terraform scripts
-Familiarity with Git, GitHub workflows, and CI/CD tools such as Jenkins
-Exposure to data lake architectures and data governance practices
-Familiarity with monitoring and logging tools such as CloudWatch
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