Chennai, Tamil Nadu
Job Summary
Key Responsibilities Database Administration • Administer and support Sybase IQ and Microsoft SQL Server 2022 environments. • Perform database patching, upgrades, backup and recovery activities. • Execute routine database health checks, performance tuning, capacity management, and preventive maintenance. • Monitor and troubleshoot database performance, availability, and operational issues. Cloud & Data Engineering Support • Support databases and data platforms hosted in AWS Cloud environments. • Apply AWS cloud concepts, operational best practices, and infrastructure knowledge to support cloud-hosted workloads. • Leverage PySpark and related cloud data processing technologies to assist with future-state cloud operations and data engineering activities. • Collaborate with infrastructure, cloud engineering, and application teams during cloud migration and post-migration support. ETL & Release Support • Perform day-to-day ETL data loading and data validation activities across development, QA, and production environments. • Support QA testing cycles by validating data loads and resolving data-related issues. • Participate in production deployments and implementation activities, ensuring successful release execution and post-deployment validation. Production Support & Operational Coverage • Provide operational support for production environments and participate in incident resolution when required. • Support production implementations, which are typically scheduled during Saturday morning offshore hours. • Be flexible to align work schedules with production deployment windows and critical business events. Working Hours & Overlap Expectations • The resource is expected to provide a minimum overlap with the onshore team until 1:00 PM EST to facilitate collaboration, issue resolution, and project coordination. • Flexible offshore working hours are acceptable, including starting later in the local day, provided the • Database Backup, Recovery, Patching, and Performance Tuning required onshore overlap is maintained. • Availability during planned production implementation activities is mandatory, particularly during weekend deployment windows when required. Preferred Skills & Experience • Sybase IQ Administration • Microsoft SQL Server 2022 Administration • • AWS Cloud Services and Architecture Concepts • PySpark Development and Support • ETL Processing and Data Pipeline Operations • Production Release Management and Support • Experience supporting large-scale enterprise data platforms in regulated environments is highly desirable.
Key Responsibilities
Key Responsibilities Database Administration • Administer and support Sybase IQ and Microsoft SQL Server 2022 environments. • Perform database patching, upgrades, backup and recovery activities. • Execute routine database health checks, performance tuning, capacity management, and preventive maintenance. • Monitor and troubleshoot database performance, availability, and operational issues. Cloud & Data Engineering Support • Support databases and data platforms hosted in AWS Cloud environments. • Apply AWS cloud concepts, operational best practices, and infrastructure knowledge to support cloud-hosted workloads. • Leverage PySpark and related cloud data processing technologies to assist with future-state cloud operations and data engineering activities. • Collaborate with infrastructure, cloud engineering, and application teams during cloud migration and post-migration support. ETL & Release Support • Perform day-to-day ETL data loading and data validation activities across development, QA, and production environments. • Support QA testing cycles by validating data loads and resolving data-related issues. • Participate in production deployments and implementation activities, ensuring successful release execution and post-deployment validation. Production Support & Operational Coverage • Provide operational support for production environments and participate in incident resolution when required. • Support production implementations, which are typically scheduled during Saturday morning offshore hours. • Be flexible to align work schedules with production deployment windows and critical business events. Working Hours & Overlap Expectations • The resource is expected to provide a minimum overlap with the onshore team until 1:00 PM EST to facilitate collaboration, issue resolution, and project coordination. • Flexible offshore working hours are acceptable, including starting later in the local day, provided the • Database Backup, Recovery, Patching, and Performance Tuning required onshore overlap is maintained. • Availability during planned production implementation activities is mandatory, particularly during weekend deployment windows when required. Preferred Skills & Experience • Sybase IQ Administration • Microsoft SQL Server 2022 Administration • • AWS Cloud Services and Architecture Concepts • PySpark Development and Support • ETL Processing and Data Pipeline Operations • Production Release Management and Support • Experience supporting large-scale enterprise data platforms in regulated environments is highly desirable.
Skill Requirements
Key Responsibilities Database Administration • Administer and support Sybase IQ and Microsoft SQL Server 2022 environments. • Perform database patching, upgrades, backup and recovery activities. • Execute routine database health checks, performance tuning, capacity management, and preventive maintenance. • Monitor and troubleshoot database performance, availability, and operational issues. Cloud & Data Engineering Support • Support databases and data platforms hosted in AWS Cloud environments. • Apply AWS cloud concepts, operational best practices, and infrastructure knowledge to support cloud-hosted workloads. • Leverage PySpark and related cloud data processing technologies to assist with future-state cloud operations and data engineering activities. • Collaborate with infrastructure, cloud engineering, and application teams during cloud migration and post-migration support. ETL & Release Support • Perform day-to-day ETL data loading and data validation activities across development, QA, and production environments. • Support QA testing cycles by validating data loads and resolving data-related issues. • Participate in production deployments and implementation activities, ensuring successful release execution and post-deployment validation. Production Support & Operational Coverage • Provide operational support for production environments and participate in incident resolution when required. • Support production implementations, which are typically scheduled during Saturday morning offshore hours. • Be flexible to align work schedules with production deployment windows and critical business events. Working Hours & Overlap Expectations • The resource is expected to provide a minimum overlap with the onshore team until 1:00 PM EST to facilitate collaboration, issue resolution, and project coordination. • Flexible offshore working hours are acceptable, including starting later in the local day, provided the • Database Backup, Recovery, Patching, and Performance Tuning required onshore overlap is maintained. • Availability during planned production implementation activities is mandatory, particularly during weekend deployment windows when required. Preferred Skills & Experience • Sybase IQ Administration • Microsoft SQL Server 2022 Administration • • AWS Cloud Services and Architecture Concepts • PySpark Development and Support • ETL Processing and Data Pipeline Operations • Production Release Management and Support • Experience supporting large-scale enterprise data platforms in regulated environments is highly desirable.
Other Requirements
Key Responsibilities Database Administration • Administer and support Sybase IQ and Microsoft SQL Server 2022 environments. • Perform database patching, upgrades, backup and recovery activities. • Execute routine database health checks, performance tuning, capacity management, and preventive maintenance. • Monitor and troubleshoot database performance, availability, and operational issues. Cloud & Data Engineering Support • Support databases and data platforms hosted in AWS Cloud environments. • Apply AWS cloud concepts, operational best practices, and infrastructure knowledge to support cloud-hosted workloads. • Leverage PySpark and related cloud data processing technologies to assist with future-state cloud operations and data engineering activities. • Collaborate with infrastructure, cloud engineering, and application teams during cloud migration and post-migration support. ETL & Release Support • Perform day-to-day ETL data loading and data validation activities across development, QA, and production environments. • Support QA testing cycles by validating data loads and resolving data-related issues. • Participate in production deployments and implementation activities, ensuring successful release execution and post-deployment validation. Production Support & Operational Coverage • Provide operational support for production environments and participate in incident resolution when required. • Support production implementations, which are typically scheduled during Saturday morning offshore hours. • Be flexible to align work schedules with production deployment windows and critical business events. Working Hours & Overlap Expectations • The resource is expected to provide a minimum overlap with the onshore team until 1:00 PM EST to facilitate collaboration, issue resolution, and project coordination. • Flexible offshore working hours are acceptable, including starting later in the local day, provided the • Database Backup, Recovery, Patching, and Performance Tuning required onshore overlap is maintained. • Availability during planned production implementation activities is mandatory, particularly during weekend deployment windows when required. Preferred Skills & Experience • Sybase IQ Administration • Microsoft SQL Server 2022 Administration • • AWS Cloud Services and Architecture Concepts • PySpark Development and Support • ETL Processing and Data Pipeline Operations • Production Release Management and Support • Experience supporting large-scale enterprise data platforms in regulated environments is highly desirable.
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