JOB SUMMARY

The ETL Developer will be responsible for designing, developing, implementing, and supporting enterprise data integration solutions that enable business intelligence, analytics, and data-driven decision-making. This role combines advanced ETL development, database development, data integration, and business intelligence support while collaborating with cross-functional teams, data architects, AI teams, and business stakeholders. The ideal candidate will possess strong expertise in

T-SQL, SSIS, ETL

development, performance optimization, and data warehousing concepts, with experience integrating data across cloud and on-premises environments.

KEY RESPONSIBILITIES

• Design, develop, and implement scalable, high-performance ETL solutions and data pipelines to load data into enterprise repositories and data warehouses.
• Collaborate with business stakeholders and technical teams to gather requirements and translate business needs into effective technical solutions.
• Develop, optimize, and maintain complex T-SQL scripts, stored procedures, functions, triggers, and database objects.
• Build, enhance, and support SSIS packages for data extraction, transformation, and loading processes.
• Extract and integrate data from cloud platforms, including Azure, Snowflake, and other enterprise data sources.
• Stage and prepare data for downstream analytics, reporting, and AI/ML initiatives.
• Collaborate with AI and analytics teams to understand data requirements, perform data mapping, and provide high-quality datasets.
• Develop, maintain, and troubleshoot SSRS reports and reporting solutions.
• Diagnose and resolve production support issues, data integration failures, and performance bottlenecks.
• Monitor scheduled jobs, manage ETL workflows, and ensure successful execution of data processing activities.
• Analyze and optimize query performance, identify inefficiencies, and implement performance improvements.
• Partner with Database Administrators to resolve database locking, blocking, and performance-related issues.
• Review existing system integrations and ETL processes, recommend enhancements, and lead implementation efforts.
• Conduct peer code reviews to ensure code quality, maintainability, and production stability.
• Support, maintain, and continuously improve business intelligence and data integration solutions.
• Create and maintain technical documentation, process documentation, and operational procedures.
• Ensure adherence to data governance, security, and data quality standards.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Information Systems, Information Technology, Engineering, or a related field, or equivalent work experience.
• 5+ years of experience in ETL development, database development, data integration, or business intelligence solutions.
• Strong hands-on experience with Microsoft SQL Server.
• Advanced proficiency in T-SQL, including stored procedures, views, functions, triggers, and performance tuning.
• Extensive experience developing and maintaining SSIS packages.
• Experience with SSRS report development, troubleshooting, and optimization.
• Strong understanding of ETL processes, data warehousing concepts, and data modeling techniques.
• Experience integrating data from multiple sources, including cloud and on-premises systems.
• Proficiency in troubleshooting production issues and resolving complex data-related problems.
• Experience optimizing SQL queries and improving database performance.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent verbal and written communication skills.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Experience supporting enterprise-scale data integration environments.

PREFERRED QUALIFICATIONS

• Experience working with Azure data services and cloud-based data platforms.
• Experience with Snowflake data warehousing solutions.
• Knowledge of AI/ML data preparation and dataset management.
• Experience with data governance, data quality, and master data management practices.
• Familiarity with Power BI or other business intelligence visualization tools.
• Experience working in Agile development environments.
• Knowledge of DevOps, CI/CD, and automated deployment processes.
• Experience supporting large-scale enterprise reporting and analytics environments.

CERTIFICATIONS

Microsoft Certified:

Azure Data Engineer Associate.

Microsoft Certified:

Azure Database Administrator Associate.

• Snowflake SnowPro Certification.
• Microsoft SQL Server certifications or equivalent data platform certifications preferred.

KEY COMPETENCIES

• ETL Development
• T-SQL Programming
• SSIS Development
• SSRS Reporting
• SQL Performance Tuning
• Data Integration
• Data Warehousing
• Azure Data Services
• Snowflake
• Business Intelligence
• Production Support
• Root Cause Analysis
• Data Quality Management
• Technical Documentation
• Cross-Functional Collaboration
• Problem Solving & Troubleshooting