Track Manager - Extract Transform Load (ETL), Data Lakes
India
Apply now
Job Description
Track Manager - Extract Transform Load (ETL), Data Lakes
| Goutam Budd Nagar, Uttar PradeshChennai, Tamil Nadu

Job Summary

Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse) Position: Application Support Engineer – Data & Analytics (Data Warehouse) Experience: 4-8 Years Location: As per business requirement Job Summary We are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments. Key Responsibilities Provide L2/L3 support for Data Warehouse and Analytics applications. Monitor data pipelines, ETL jobs, batch processes, and data loads. Troubleshoot and resolve production incidents within SLA timelines. Perform root cause analysis (RCA) and implement preventive measures. Support AWS, Hadoop, Netezza, and SSIS-based data platforms. Validate data integrity, quality, and reconciliation processes. Manage job scheduling, performance tuning, and capacity monitoring. Coordinate with development, infrastructure, and business teams for issue resolution. Support release deployments, change management, and maintenance activities. Prepare operational documentation, runbooks, and incident reports. Required Skills Strong experience in Application Support and Production Support. Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch). Good knowledge of Hadoop Ecosystem (HDFS, Hive, Spark). Experience with IBM Netezza Data Warehouse. Strong expertise in SSIS (SQL Server Integration Services). Knowledge of SQL, ETL processes, and Data Warehousing concepts. Experience with monitoring, incident management, and troubleshooting. Understanding of batch scheduling tools and support processes. Preferred Skills Experience with Data Analytics and Reporting platforms. Knowledge of Shell/Python scripting. Exposure to DevOps and automation tools. ITIL Incident, Problem, and Change Management knowledge.

Key Responsibilities

Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse) Position: Application Support Engineer – Data & Analytics (Data Warehouse) Experience: 4-8 Years Location: As per business requirement Job Summary We are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments. Key Responsibilities Provide L2/L3 support for Data Warehouse and Analytics applications. Monitor data pipelines, ETL jobs, batch processes, and data loads. Troubleshoot and resolve production incidents within SLA timelines. Perform root cause analysis (RCA) and implement preventive measures. Support AWS, Hadoop, Netezza, and SSIS-based data platforms. Validate data integrity, quality, and reconciliation processes. Manage job scheduling, performance tuning, and capacity monitoring. Coordinate with development, infrastructure, and business teams for issue resolution. Support release deployments, change management, and maintenance activities. Prepare operational documentation, runbooks, and incident reports. Required Skills Strong experience in Application Support and Production Support. Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch). Good knowledge of Hadoop Ecosystem (HDFS, Hive, Spark). Experience with IBM Netezza Data Warehouse. Strong expertise in SSIS (SQL Server Integration Services). Knowledge of SQL, ETL processes, and Data Warehousing concepts. Experience with monitoring, incident management, and troubleshooting. Understanding of batch scheduling tools and support processes. Preferred Skills Experience with Data Analytics and Reporting platforms. Knowledge of Shell/Python scripting. Exposure to DevOps and automation tools. ITIL Incident, Problem, and Change Management knowledge.

Skill Requirements

Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse) Position: Application Support Engineer – Data & Analytics (Data Warehouse) Experience: 4-8 Years Location: As per business requirement Job Summary We are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments. Key Responsibilities Provide L2/L3 support for Data Warehouse and Analytics applications. Monitor data pipelines, ETL jobs, batch processes, and data loads. Troubleshoot and resolve production incidents within SLA timelines. Perform root cause analysis (RCA) and implement preventive measures. Support AWS, Hadoop, Netezza, and SSIS-based data platforms. Validate data integrity, quality, and reconciliation processes. Manage job scheduling, performance tuning, and capacity monitoring. Coordinate with development, infrastructure, and business teams for issue resolution. Support release deployments, change management, and maintenance activities. Prepare operational documentation, runbooks, and incident reports. Required Skills Strong experience in Application Support and Production Support. Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch). Good knowledge of Hadoop Ecosystem (HDFS, Hive, Spark). Experience with IBM Netezza Data Warehouse. Strong expertise in SSIS (SQL Server Integration Services). Knowledge of SQL, ETL processes, and Data Warehousing concepts. Experience with monitoring, incident management, and troubleshooting. Understanding of batch scheduling tools and support processes. Preferred Skills Experience with Data Analytics and Reporting platforms. Knowledge of Shell/Python scripting. Exposure to DevOps and automation tools. ITIL Incident, Problem, and Change Management knowledge.

Other Requirements

Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse) Position: Application Support Engineer – Data & Analytics (Data Warehouse) Experience: 4-8 Years Location: As per business requirement Job Summary We are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments. Key Responsibilities Provide L2/L3 support for Data Warehouse and Analytics applications. Monitor data pipelines, ETL jobs, batch processes, and data loads. Troubleshoot and resolve production incidents within SLA timelines. Perform root cause analysis (RCA) and implement preventive measures. Support AWS, Hadoop, Netezza, and SSIS-based data platforms. Validate data integrity, quality, and reconciliation processes. Manage job scheduling, performance tuning, and capacity monitoring. Coordinate with development, infrastructure, and business teams for issue resolution. Support release deployments, change management, and maintenance activities. Prepare operational documentation, runbooks, and incident reports. Required Skills Strong experience in Application Support and Production Support. Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch). Good knowledge of Hadoop Ecosystem (HDFS, Hive, Spark). Experience with IBM Netezza Data Warehouse. Strong expertise in SSIS (SQL Server Integration Services). Knowledge of SQL, ETL processes, and Data Warehousing concepts. Experience with monitoring, incident management, and troubleshooting. Understanding of batch scheduling tools and support processes. Preferred Skills Experience with Data Analytics and Reporting platforms. Knowledge of Shell/Python scripting. Exposure to DevOps and automation tools. ITIL Incident, Problem, and Change Management knowledge.
Apply now
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.