Design and execute test plans for data pipelines, ETL, and analytical models. Validate data accuracy, identify and track defects, automate tests, monitor data quality metrics, support UAT, and collaborate with data engineers and stakeholders to ensure compliant, reliable BI and analytics solutions.
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary
A Data and Analytical Testing professional is responsible for ensuring the quality, accuracy, and integrity of data-driven processes, reports, and analytical solutions. This role involves designing and executing test plans, validating data pipelines, and collaborating with cross-functional teams to identify and resolve data-related issues. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to support data quality initiatives, optimize analytical workflows, and contribute to the development of robust business intelligence solutions.
Key Responsibilities
Design, develop, and execute test cases for data pipelines, ETL (Extract, Transform, Load) processes, and analytical models.
Validate data accuracy, completeness, consistency, and integrity across multiple sources and systems.
Identify, document, and track defects, issues, and anomalies in data and analytical outputs.
Collaborate with data engineering, analytics, and business teams to understand requirements and resolve data-related issues.
Automate testing processes where feasible using scripting languages and testing frameworks.
Monitor and report on data quality metrics and testing outcomes.
Support user acceptance testing (UAT) and provide feedback on analytical deliverables.
Ensure compliance with data governance, privacy, and security standards.
Contribute to continuous improvement of testing methodologies, documentation, and best practices.
Required Skills
Proficiency in SQL for data querying and validation.
Experience with data testing tools (e.g., dbt, Talend, Informatica) and scripting languages (e.g., Python, R).
Familiarity with ETL processes, data warehouses, and cloud data platforms (e.g., AWS, Azure, Google Cloud).
Understanding of data modeling, data structures, and analytical frameworks.
Ability to use BI tools (e.g., Tableau, Power BI, Qlik) for data analysis and validation.
15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary
A Data and Analytical Testing professional is responsible for ensuring the quality, accuracy, and integrity of data-driven processes, reports, and analytical solutions. This role involves designing and executing test plans, validating data pipelines, and collaborating with cross-functional teams to identify and resolve data-related issues. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to support data quality initiatives, optimize analytical workflows, and contribute to the development of robust business intelligence solutions.
Key Responsibilities
Design, develop, and execute test cases for data pipelines, ETL (Extract, Transform, Load) processes, and analytical models.
Validate data accuracy, completeness, consistency, and integrity across multiple sources and systems.
Identify, document, and track defects, issues, and anomalies in data and analytical outputs.
Collaborate with data engineering, analytics, and business teams to understand requirements and resolve data-related issues.
Automate testing processes where feasible using scripting languages and testing frameworks.
Monitor and report on data quality metrics and testing outcomes.
Support user acceptance testing (UAT) and provide feedback on analytical deliverables.
Ensure compliance with data governance, privacy, and security standards.
Contribute to continuous improvement of testing methodologies, documentation, and best practices.
Required Skills
Proficiency in SQL for data querying and validation.
Experience with data testing tools (e.g., dbt, Talend, Informatica) and scripting languages (e.g., Python, R).
Familiarity with ETL processes, data warehouses, and cloud data platforms (e.g., AWS, Azure, Google Cloud).
Understanding of data modeling, data structures, and analytical frameworks.
Ability to use BI tools (e.g., Tableau, Power BI, Qlik) for data analysis and validation.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Information Technology
Design, code, and enhance custom Python-based software components using modern frameworks and agile practices. Act as an SME, lead and mentor team members, coordinate cross-functional work, make technical decisions, and drive process improvements to deliver scalable, high-performing solutions.
Top Skills:
Python
Information Technology
Design, develop, and enhance custom software and BI solutions using modern frameworks and agile practices. Lead SME activities, mentor juniors, collaborate across teams, and deliver scalable Power BI reports, dashboards, and optimized data models integrating multiple sources.
Top Skills:
Microsoft Power Bi
Information Technology
Design, code, and enhance system components to deliver custom, scalable software using modern frameworks and agile practices. Translate business requirements into technical specifications, maintain and optimize existing components, document processes, collaborate across teams, and mentor junior engineers.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
