ETL Test lead

Synstack Technologies

Windsor (CT)

On-site

USD 120,000 - 150,000

Full time

18 hours ago
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Job summary

Synstack Technologies is seeking an experienced ETL Test Lead to guide end-to-end data testing and delivery. The role emphasizes Advanced SQL, ETL testing, data warehousing, and data validation to ensure quality data flows across systems.

The ideal candidate will lead ETL/QE teams, manage stakeholders, and coordinate with business, development, and QE teams to drive timely releases. Logistics/SCM experience is a plus.

Qualifications

  • Bachelor’s or Master’s degree in CS/IS or related field.
  • Experience leading end-to-end ETL testing programs.

Responsibilities

  • Lead end-to-end ETL testing and project delivery.
  • Perform source-to-target mapping, data validation, reconciliation, and root-cause analysis.
  • Write complex SQL queries and analyze stored procedures.
  • Lead and mentor ETL/QE teams.
  • Coordinate with Business, Development, and QE teams.

Skills

Advanced SQL
Data Warehousing
Data Validation
ETL Testing
Data Modeling
CTEs & Window Functions
Agile/Sprint Management
Team Leadership
Stakeholder Management

Education

Bachelor’s/Master’s in CS/IS

Tools

Snowflake
Matillion
DBT
SQL Server

Job description

We are looking for an experienced ETL Test Lead with strong expertise in Advanced SQL, ETL Testing, Data Warehousing, and Data Validation to lead end-to-end data testing and delivery.

Key Skills:

  • Advanced SQL & Stored Procedures
  • Snowflake
  • Matillion & DBT
  • SQL Server
  • Data Modeling – Star/Snowflake Schema
  • CTEs, Window Functions & Query Optimization
  • Agile/Sprint & Release Management
  • Team Leadership & Stakeholder Management

Responsibilities:

  • Lead end-to-end ETL testing and project delivery.
  • Perform source-to-target mapping, data validation, reconciliation, and root-cause analysis.
  • Write complex SQL queries and analyze stored procedures.
  • Lead and mentor ETL/QE teams.
  • Coordinate with Business, Development, and QE teams.

Preferred: Bachelor’s/Master’s in CS, IS, or related field. Experience in Logistics, Supply Chain, or Enterprise Data Transformation is a plus.

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