Endava

Information Technology And Services

DataTestingAnalyst

Noida, Uttar Pradesh, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Testing Analyst at Endava. Skills: Data Testing, SQL, BigQuery, Python. Testing data Products. Testing end Data Solutions”

Industry & Context.

Information Technology And Services
Problems you'll solve

problem-solving capability; troubleshooting defects

What They're Looking For.

Must Have

SQL testing, BigQuery validation, dbt tests, data reconciliation, data quality checks, Python automation, pipeline testing, regression testing, test case design, SQL expertise, analytical SQL, cloud data warehouses, Google BigQuery, dbt, BigQuery, automated data testing frameworks, dbt tests, Power BI dashboards, semantic models, DAX measures, CI/CD pipelines, Git-based workflows, DevOps principles, cloud security best practices, least-privilege IAM, Agile delivery frameworks, JIRA, Confluence, Data tester, Financial Services domain, SQL based Data Testing, scripting skills in Python, Dev Ops, CI/CD, Data warehouse, Report testing, data testing, data validation, problem-solving capability, troubleshooting defects, communication skills, stakeholder management skills

Nice to Have

Airflow validation, Great Expectations, Grafana/Splunk monitoring, financial data reconciliation, CI/CD testing

What You'll Do.

Testing data Products

Testing end Data Solutions

Ensuring data quality

Ensuring data accuracy

Ensuring data reliability

Ensuring data performance

Designing data testing strategies

Executing data testing strategies

Define automated testing approach

Define regresion testing approach

How You'll Work.

Team & Collaboration

Work closely with Data Engineers; Work closely with Data Managers; Work closely with Product Owners; Work closely with BI Developers; Collaborating effectively in multi-disciplinary teams

Communication Scope

communication skills; stakeholder management skills

Process & Methodology

Delivery management, Documentation

Full Job Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Role: Data Testing Analyst Role Overview and Expected Deliverables The Testing Engineer will be responsible for testing the data Products and end Data Solutons which can include both external and internal reports. - Testing engineer will be responsible ensuring the data quality, accuracy, reliability, and performance of Data Products delivered by the Data Solutions team. - They will work closely with Data Engineers, Data Managers, Product Owners, and BI Developers to design and execute comprehensive data testing strategies across the end‑to‑end data pipeline. - Define automated and regresion testing approach for the delivery of data products ## Qualifications Must have skills SQL testing, BigQuery validation, dbt tests, data reconciliation, data quality checks, Python automation, pipeline testing, regression testing, test case design Good to have skills Airflow validation, Great Expectations or similar tools, Grafana/Splunk monitoring, financial data reconciliation, CI/CD testing Core Technical Requirements Data Testing - Strong SQL expertise, especially in analytical SQL within cloud data warehouses (preferably Google BigQuery). - Hands-on experience with dbt & BigQuery - Experience with automated data testing frameworks such as dbt tests Report Testing - Experience testing Power BI dashboards, semantic models, and DAX measures. DevOps, CI/CD & IaC: - Familiarity with CI/CD pipelines, Git-based workflows, and DevOps principles for data workflows. Security, Data Governance & Operat

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