Custom Software Engineer

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 7.5 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.