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ETL SSIS Developer
Matrix Global. Design, develop, enhance, and maintain scalable ETL pipelines using Microsoft SSIS .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL pipelines using Microsoft SSIS and T-SQL, with a strong focus on SQL performance tuning and data security best practices. Collaborates effectively with stakeholders to translate business requirements into technical solutions while implementing modern data engineering practices.
Highest-signal resume keywords
Microsoft SSIST-SQL DevelopmentSQL Performance TuningETL Pipeline DevelopmentMedallion Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL Pipeline DesignT-SQLSQL Performance TuningData ValidationDatabase SecurityData ModelingError HandlingLoggingTransaction ManagementComplex Queries
Soft Skills
Analytical SkillsTroubleshootingProblem-SolvingCommunicationCollaboration
Tools & Technologies
Microsoft SQL ServerGitGitHub CopilotTalend Data IntegrationAutomated TestingDatabase CI/CD
Industry Keywords
BankingFinancial ServicesData IntegrityData QualityData Engineering
Tech Stack
Tools & technologiesETLSQLSSIS
About the role
Key responsibilities & impact- Design, develop, enhance, and maintain scalable ETL pipelines using Microsoft SSIS
- Develop and maintain T-SQL code, including stored procedures, functions, views, and complex queries
- Optimize SQL query performance through execution plan analysis, indexing strategies, and query tuning
- Implement error handling, logging, transaction management, and data validation
- Apply secure SQL development practices, including parameterized dynamic SQL, least-privilege access, and role-based security controls
- Apply Medallion Architecture principles across Bronze, Silver, and Gold data layers
- Partner with business stakeholders, product owners, and data engineering teams to translate business requirements into technical solutions
- Follow Git-based development practices, including version control, peer code reviews, automated testing, and database CI/CD processes
- Leverage AI-powered coding assistants for development productivity, testing, documentation, and code optimization, with review and validation
- Support production data operations by monitoring SLAs/SLOs, troubleshooting ETL and database issues, resolving incidents, and conducting root-cause analysis
- Identify opportunities to improve ETL performance, data quality, maintainability, and operational efficiency
Requirements
What you’ll need- Strong hands-on experience with Microsoft SSIS and SQL Server
- Proficiency in T-SQL development, including stored procedures, functions, views, and complex queries
- Demonstrated experience in SQL performance tuning, execution plan analysis, and indexing
- Experience developing, deploying, and supporting enterprise-scale ETL pipelines
- Understanding of data modeling, data validation, data integrity, and database security best practices
- Familiarity with version control, code review processes, automated testing, and database deployment practices
- Strong analytical, troubleshooting, problem-solving, and communication skills
- Ability to work collaboratively with technical teams and business stakeholders
- Experience with Talend Data Integration
- Familiarity with GitHub Copilot or other AI-assisted development tools
- Experience implementing automated testing and database CI/CD pipelines
- Knowledge of Medallion Architecture and modern data engineering practices
- Experience in banking, financial services, or other data-intensive enterprise environments
Benefits
Comp & perks- Competitive compensation and benefits
- Meaningful career development opportunities
- Diverse, inclusive culture
- Continuous learning and growth
- Challenging and engaging work environment