ETL Test Lead

Coforge; Windsor (CT); On-site; USD 120,000 - 180,000; Full time

Job summary

Coforge in Windsor CT seeks an experienced ETL & SQL Lead to own end-to-end data flows from source systems through data warehouse, data mart, and reporting layers. You will drive project delivery and lead the team in implementation and testing.

The role requires expertise in data warehousing, ETL processes, cloud data platforms, data modeling, and strong stakeholder management to align business requirements with technical delivery.

Qualifications

• 8+ years of ETL/BI data engineering experience.
• Experience leading ETL/SQL teams and agile delivery.
• Strong SQL with complex queries and data validation.
• Proven stakeholder management and cross-functional collaboration.

Responsibilities

• Lead end-to-end delivery of data integration projects from requirements to deployment.
• Define plans, risks, dependencies, and resources.
• Document data lineage across layers and validate data flow to dashboards.
• Mentor ETL testing and data validation techniques.
• Drive Agile ceremonies and release management.
• Provide status updates to leadership and stakeholders.
• Validate dashboards against source data and ensure data quality.

Skills

Data Warehousing

ETL processes

SQL

ETL testing

Cloud Data Platforms

Data Modeling

BI & Reporting tools

Power BI

Tableau

Looker

Data Lineage

Data Governance

Data Quality

Data Reconciliation

Stakeholder Management

Tools

Matillion

DBT

SQL Server

Job description

Skills: Data Warehousing, ETL processes, SQL, ETL testing, Cloud Data Platforms, Data Modeling, BI & Reporting tools

Experience: 8 + years

Location: Windsor CT (Onsite Job)

Role Summary:

We are looking for an experienced ETL & SQL Lead with strong expertise in understanding and analyzing complex end-to-end data flows from Source Systems through Data Warehouse/Data Mart layers to Reporting and Dashboard platforms, drive the end-to-end project execution and lead the team in the project delivery.

The ideal candidate will possess strong expertise in data warehousing, ETL processes, cloud data platforms, data modeling, and stakeholder management

Key Responsibilities

Project & Delivery Management

• Lead end-to-end delivery of elements projects from requirements understanding through production deployment.
• Define project plans, milestones, risks, dependencies, and resource allocations.
• Understand and document complex data lineage across multiple layers (Source Systems, Landing/Staging Layers, Integration/Transform Layers, Data Warehouse, Data Marts, Semantic/Reporting Layer, Power BI/Tableau dashboards)
• Perform impact analysis and trace data flow from source to dashboard.
• Analyze and validate business rules, transformation logic, mappings, and aggregations across layers.
• Create source-to-target mappings and data validation strategies.
• Lead ETL testing teams, data reconciliation, and root cause analysis activities.
• Write complex SQL queries and understand existing code base in the form Stored procedures for data analysis, profiling, and defect investigation.
• Mentor team members on SQL, ETL testing, and data validation techniques.
• Drive Agile ceremonies, sprint planning, and release management activities.
• Provide regular status updates to leadership and stakeholders.
• Define strategies for validating dashboards from source tables, data reconciliation, validation of the data between layers and Dashboards Automation solutioning.

Stakeholder Management

• Understand data requirements from business and translate them into testable requirements
• Act as the primary point of contact between QE , Business and Dev Team

Technical Skills

• ETL/ELT Tools: Matillion, DBT
• Databases: SQL Server
• SQL Expertise: Advanced SQL, Advanced Stored Procedures, CTEs, Window Functions, Query Optimization,
• BI & Reporting: Power BI,
• Data Modeling: Star Schema, Snowflake Schema, Dimensional Modeling
• Data Engineering Concepts: Data Lineage, Data Governance, Data Quality, Data Reconciliation
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
• Hands-on experience with BI & Reporting tools such as Power BI, Tableau, or Looker.
• Familiarity with AI-enabled data solutions and automation frameworks.

Management Skills

• Strong stakeholder management and communication skills.
• Ability to manage distributed offshore teams.
• Risk management, estimation, planning, and budget tracking expertise.