Data Warehouse Engineer

Staffing Spot, Inc.; Dallas (TX); On-site; USD 90,000 - 125,000; Full time

Job summary

Staffing Spot, Inc. is seeking a Data Engineer to monitor and optimize data pipelines, focusing on SSIS and T-SQL in a cloud-based environment. You will implement Medallion Architecture, design data models, and collaborate across onshore/offshore teams to reduce downtime and improve data quality.

The role emphasizes governance, runbooks, and documentation to standardize cloud workflows and support seamless operations across multiple data platforms.

Qualifications

• Experience building and maintaining data pipelines for cloud data warehouses.
• Strong ETL skills with SSIS and T-SQL in production environments.
• Familiarity with data governance and runbook documentation.

Responsibilities

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

Skills

SSIS

T-SQL

Data pipelines

Cloud experience

Medallion Architecture

Runbooks

Data governance

Tools

SSIS

Job description

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

Data Warehouse Support

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

Skills: design,operations,data warehouse,cloud,data,root