Description

You will build and maintain data engineering solutions across the data lifecycle.

Responsibilities

• Analyze, troubleshoot, and resolve operational support tickets for BI, ETL processes, and data pipelines.
• Maintain, enhance, and deploy SSIS packages, ensuring strong logging, error handling, and recoverability.
• Develop, optimize, and troubleshoot complex T-SQL (queries, stored procedures, views, functions).
• Build and orchestrate Azure Data Factory (ADF) pipelines, including parameterization and environment promotion.
• Perform root-cause analysis of failures and implement permanent fixes to prevent recurrence, while documenting runbooks.

Required Skills

• 5+ years of hands-on ETL development and production support.
• Expert-level SQL Server (T-SQL), including performance tuning and query plan analysis.
• Strong SSIS development, deployment, and troubleshooting experience in production.
• Solid Azure Data Factory experience for data pipeline orchestration and monitoring.
• Proven ability to analyze complex data issues and deliver stable solutions.
• Strong analytical and problem-solving skills with attention to detail.
• Experience with Python for automation and lightweight transforms.
• Familiarity with CI/CD Pipelines.

Preferred Skills

• Exposure to SQL Server Analysis Services.
• Experience with Power BI or other data visualization tools.
• Familiarity with GitHub/Azure DevOps (CI/CD, releases, environment configuration).

Key Skills

Education

Not specified