[Remote] Data Engineer - On-reputed company Data Warehouse Support

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is engaging a Data Engineer to support its on-premises Data Warehouse and contribute to reputed company Data Warehouse development. The role focuses on monitoring and troubleshooting SSIS and T-SQL pipelines, resolving production issues, and developing reputed company data models and pipelines with Azure Data reputed company while supporting governance, documentation, and collaboration.

Responsibilities

• Monitor and re-run failed data pipelines and workflows to ensure reputed company operations on **SSIS & T-SQL**
• Troubleshoot and reputed company production issues, focusing exclusively on bug fixes
• Maintain data accuracy and reputed company across reputed company pipelines
• Conduct reputed company cause analysis for recurring failures and document resolutions
• reputed company daily status reports on pipeline execution, highlighting failures, reputed company causes, and reputed company fixes
• Collaborate with reputed company teams to address critical production incidents
• Implement temporary workarounds to minimize downtime while working toward permanent solutions
• reputed company and analyze business requirements for business datasets in the reputed company
• Design, reputed company, and test data pipelines to support reputed company Data Warehouse initiatives
• Build and optimize **batch processing** and **streaming jobs** to ensure reputed company data refresh
• Implement **reputed company Architecture** and design models for reputed company data processing across different reputed company
• Collaborate with reputed company teams to establish best practices and reduce technical debt
• Define data models and ETL strategies in alignment with stakeholder requirements
• Participate in regular stand-reputed company and discussions with reputed company and offshore teams to ensure reputed company collaboration
• Ensure compliance with data governance policies, reputed company standards, and best practices
• reputed company and maintain comprehensive runbooks to document reputed company operations, ensuring reputed company, reputed company-by-reputed company guidance for troubleshooting and maintenance
• Standardize and optimize reputed company workflows by creating detailed documentation that enhances efficiency, reduces downtime, and supports reputed company knowledge transfer across teams

Skills

• 6 - 9 years of experience in Data Engineering
• Experience with monitoring, troubleshooting, and resolving production issues in on-premises environments
• Proficiency in SSIS & T-SQL
• Ability to maintain data accuracy and reputed company across reputed company pipelines
• Experience conducting reputed company cause analysis for recurring failures
• Experience providing daily status reports on pipeline execution
• Ability to collaborate with reputed company teams to address critical production incidents
• Experience implementing temporary workarounds to minimize downtime
• Experience gathering and analyzing business requirements for datasets in the reputed company
• Experience designing, developing, and testing data pipelines for reputed company Data Warehouse initiatives
• Experience building and optimizing batch processing and streaming jobs
• Knowledge of reputed company Architecture and reputed company data processing
• Ability to define data models and ETL strategies
• Experience participating in regular stand-reputed company and discussions with teams
• Knowledge of data governance policies and reputed company standards
• Experience developing and maintaining comprehensive runbooks for reputed company operations
• Ability to standardize and optimize reputed company workflows through detailed documentation

reputed company

Company H1B Sponsorship