Posted 22 May, 2026
Senior Data Engineer (AWS Data Platform)
NR Consulting - India
Remote, IN
Full Time
Reference: 26-05369-2220-1
Title: Senior Data Engineer (AWS Data Platform)
Location: Remote
Exp: 8+ years
Job Description:
Key Responsibilities
• Lead and mentor a team of data engineers in designing and delivering scalable data solutions.
• Design, develop, and optimize ETL/ELT pipelines and batch reporting workflows.
• Manage and optimize Amazon Redshift clusters, including WLM configuration, query tuning, and performance optimization.
• Work extensively with SQL, DynamoDB, and AWS data services.
• Build and maintain on-demand and scheduled reporting solutions.
• Collaborate with cross-functional teams including Analytics, Product, and DevOps.
• Ensure data reliability, scalability, governance, and operational excellence.
• Support CI/CD pipelines and follow DevOps best practices for deployments and monitoring.
• Participate in architecture discussions and contribute to cloud infrastructure decisions.
Required Skills
• 8+ years of experience in Data Engineering/Data Warehousing.
• Strong hands-on expertise in SQL and Amazon Redshift.
• Good understanding of Redshift WLM, query optimization, partitioning, and performance tuning.
• Experience with DynamoDB and AWS ecosystem (S3, Lambda, Glue, CloudWatch, IAM, etc.).
• Experience handling batch reports, on-demand reports, and large-scale data processing.
• Basic understanding of AWS infrastructure and DevOps practices.
• Strong leadership and stakeholder management skills.
• Experience working in Agile/Scrum environments.
Location: Remote
Exp: 8+ years
Job Description:
Key Responsibilities
• Lead and mentor a team of data engineers in designing and delivering scalable data solutions.
• Design, develop, and optimize ETL/ELT pipelines and batch reporting workflows.
• Manage and optimize Amazon Redshift clusters, including WLM configuration, query tuning, and performance optimization.
• Work extensively with SQL, DynamoDB, and AWS data services.
• Build and maintain on-demand and scheduled reporting solutions.
• Collaborate with cross-functional teams including Analytics, Product, and DevOps.
• Ensure data reliability, scalability, governance, and operational excellence.
• Support CI/CD pipelines and follow DevOps best practices for deployments and monitoring.
• Participate in architecture discussions and contribute to cloud infrastructure decisions.
Required Skills
• 8+ years of experience in Data Engineering/Data Warehousing.
• Strong hands-on expertise in SQL and Amazon Redshift.
• Good understanding of Redshift WLM, query optimization, partitioning, and performance tuning.
• Experience with DynamoDB and AWS ecosystem (S3, Lambda, Glue, CloudWatch, IAM, etc.).
• Experience handling batch reports, on-demand reports, and large-scale data processing.
• Basic understanding of AWS infrastructure and DevOps practices.
• Strong leadership and stakeholder management skills.
• Experience working in Agile/Scrum environments.
