ETL and Data Warehouse Test Engineer

NR Consulting; New Haven (CT); Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking an ETL and Data Warehouse Test Engineer to join their innovative team. This role involves designing and executing test plans to ensure the integrity of data flows in a cloud-based environment. The ideal candidate will leverage their expertise in Azure and Snowflake platforms while collaborating with a dynamic team of data engineers and analysts. With a focus on automation and data quality, this position offers the chance to significantly impact data management processes. If you are passionate about data integrity and enjoy working in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in data test engineering.
• Strong understanding of SDLC and Data Vault methodologies.
• Experience with cloud-based IaaS/SaaS/PaaS solutions.

Responsibilities

• Develop and execute test plans for ETL processes and data warehouse structures.
• Conduct end-to-end testing to ensure data accuracy and completeness.
• Collaborate with data engineers and business analysts for thorough testing.

Skills

ETL Testing

Data Warehouse Testing

Regression Testing

Azure Data Services

Snowflake

Talend

Problem Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree in Data Engineering

Tools

Azure Data Factory

Azure Synapse Analytics

Power BI

SQL

Job description

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Job Title: ETL and Data Warehouse Test Engineer

Location: Open for remote

Duration: 12 months contract (Possibility to convert into full-time)

Overview

The ETL and Data Warehouse Test Engineer is responsible for designing, developing, and executing test plans and test cases to ensure the quality and accuracy of data flows and data transformations in our data warehouse environment. This role focuses on validating ETL processes, data integrity, and data warehouse components using both automated and manual testing techniques. The ideal candidate has hands-on experience with Azure platforms, the Snowflake platform, and Talend, and a strong understanding of regression testing to support continuous integration and deployment within a cloud-based environment.

Core Responsibilities

Test Planning and Strategy: Develop and execute comprehensive test plans, test cases, and test scripts for ETL processes, data warehouse structures, and data integrations.

ETL and Data Warehouse Testing: Conduct end-to-end testing of ETL processes to ensure data accuracy, completeness, and transformations in line with business requirements.

Regression Testing: Design and perform regression testing to validate existing functionality and data pipelines, ensuring the stability of the data environment across updates.

Platform Expertise: Use Azure Data Services (Azure Data Factory, Azure Synapse Analytics, etc.) and the Snowflake platform to validate data pipelines, transformations, and warehousing solutions.

Perform tasks spanning the full lifecycle of data management activities including but not limited to defining completeness, accuracy, and consistency specifications by data element, writing scripts, and developing tools to monitor quality, and building defining and implementing controls for key data quality measures.

Automation and Scripting: Create and maintain automated test scripts and frameworks for ETL processes and data validation, leveraging tools like Talend for ETL job automation

Data Quality and Integrity Checks: Perform data quality, integrity, and accuracy checks, identifying and troubleshooting data discrepancies and implementing corrective actions.

Collaboration: Work closely with data engineers, data architects, and business analysts to understand requirements, data flows, and business logic, ensuring thorough testing coverage.

Reporting and Documentation: Document and report defects, issues, and enhancements; track progress on defect resolution and update stakeholders on testing status.

Skills Qualifications

Strong understanding and experience in development activities for all aspects of the Software Development Life Cycle (SDLC). Data Vault Methodologies

Excellent problem-solving and critical-thinking skills

Effective communication skills with an ability to explain technical concepts to developers, product managers, and business partners.

Knowledge and experience with database design principles including referential integrity normalization, and indexing to support application development

Education

Bachelor's degree or master's degree in a quantitative field such as Computer Science and Information Systems, Database Management, Big Data, Data Engineering, Data Science, Applied Math, etc.

5+ years of professional data test engineering working experience.

Preferred

3+ years of experience working with large data and a variety of data sources.

Experience in Data Vault 2.0 methodology

Experience working in virtualized cloud environments including cloud-based IaaS/SaaS/PaaS solutions

Experience in Power BI, and SQL

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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