Senior SQL & ETL Database Engineer - Batch Processing

V R Della Infotech Inc

New York (NY)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

V R Della Infotech Inc in New York seeks an experienced SQL/ETL database developer to support the FA Registration Team. You will translate business needs into technical specs, develop T-SQL stored procedures, and drive enterprise batch processing with strong data modeling skills.

You will collaborate across time zones with business, QA, infrastructure, and application teams, adhering to SDLC standards and utilizing AI-assisted tools like GitHub Copilot and Claude to enhance productivity and

Qualifications

6-8 years of experience developing batch processes using T-SQL and ETL tools such as Informatica.
Strong SQL Server development experience, including stored procedures and database components.
Strong database design and data-modeling skills.
Informatica and enterprise ETL processes experience.
Experience supporting enterprise batch processing, including scheduling, dependencies, file-based feeds, exception handling, reconciliation, and production support.
Strong data analysis and data quality assessment capabilities.
Excellent verbal and written communication skills with the ability to collaborate across time zones.
Strong SDLC discipline with a track record of improving operational efficiency.
Experience delivering in Agile Scrum models, including planning, backlog refinement, estimation, stand-ups, reviews, retrospectives, and Jira execution.
Practical experience using AI-assisted engineering tools such as GitHub Copilot and Claude for development, troubleshooting, unit-test support, documentation, and productivity improvement.
Ability to follow change management practices that support consistent, maintainable release.

Responsibilities

Translating business needs into clear technical specifications.
Developing scalable T-SQL stored procedures and database components.
Working in a process-oriented delivery model and adhering to enterprise development standards.
Partnering with business, QA, infrastructure, and application teams to deliver controlled changes and production support.
Centralizing and streamlining production requests.
Working on database design to improve data access, performance, and maintainability.
Supporting batch workflows across ingestion, validation, reconciliation, monitoring, exception management, and downstream delivery.
Leveraging AI-assisted engineering tools to improve productivity, analysis, documentation, and delivery quality.
Ability to follow change management practices that support consistent, maintainable release.