Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Hyderabad
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- minimum 7.5 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles
- Education
- 15 years full time education is required.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Data Engineer develops and migrates data-driven insights and knowledge engine interfaces that support organizational decision-making. The role deploys and maintains data systems, integrates security and data privacy protections, and collaborates with teams to align technical solutions with business needs.
What You'll Do
- Lead the design and development of PLX-based dashboards, workflows, data processes, analytical tools, and automation solutions.
- Translate functional and analytical requirements into scalable technical designs and implementation plans.
- Develop advanced SQL logic for large datasets, including transformation, validation, optimization, metric calculation, and exception...
- Build or guide Python-based automation, data validation, analytical processing, and repeatable workflows in Colab.
- Review code, SQL, dashboards, workflows, documentation, and test outputs produced by developers.
- Support production issue resolution, root-cause analysis, defect fixes, and enhancement prioritization.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL); advanced SQL skills; experience building analytics, BI, dashboard, workflow, or automation solutions on large datasets; strong Python capability; understanding of data modeling, reporting architecture, ETL/ELT concepts, workflows, and BI delivery; business analytics and stakeholder alignment; ability to guide developers, review outputs, enforce quality, and troubleshoot complex issues; strong documentation, communication, and technical leadership skills.
Required
- Oracle Procedural Language Extensions to SQL (PLSQL)
- Advanced SQL, including complex joins, window functions, performance-aware query design, data transformation, and validation logic
- Experience building analytics, BI, dashboard, workflow, or automation solutions on large datasets
- Python for analysis, automation, validation, and reusable processing logic
- Data modeling, reporting architecture, ETL/ELT concepts, workflows, and BI delivery
- Business analytics and alignment of technical design with stakeholder outcomes
- Guiding developers, reviewing outputs, enforcing quality, and troubleshooting complex issues
- Strong documentation, communication, and technical leadership skills
Preferred
- Exposure to BigQuery, Looker, Vertex, or GCP tools
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves developing and migrating complex data-driven insights and knowledge engine interfaces that support organizational decision-making processes. The role includes deploying and maintaining these systems to ensure continuous availability and reliability. A significant part of the day is dedicated to integrating robust security measures and data privacy protections to safeguard sensitive information. Collaboration with various teams to align technical solutions with business needs is also a key aspect, ensuring that the insights generated are actionable and support strategic goals effectively.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Lead design and development of complex PLX-based dashboards, workflows, data processes, analytical tools, and automation solutions.
- Translate functional and analytical requirements into scalable technical designs and implementation plans.
- Develop advanced SQL logic for large datasets, including transformation, validation, optimization, metric calculation, and exception handling.
- Build or guide Python-based automation, data validation, analytical processing, and repeatable workflows in Colab.
- Review code, SQL, dashboards, workflows, documentation, and test outputs produced by developers and entry-level developers.
- Provide technical direction on solution design, data model usage, workflow structure, performance, maintainability, and troubleshooting.
- Collaborate with techno-functional analysts, managers, consultants, and stakeholders to clarify requirements and resolve ambiguity.
- Identify reusable components, development standards, and opportunities to improve delivery efficiency.
- Support production issue resolution, root-cause analysis, defect fixes, and enhancement prioritization.
- Mentor junior developers and help build technical capability across the team.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).
- Advanced SQL skills, including complex joins, window functions, performance-aware query design, data transformation, and validation logic.
- Strong experience building analytics, BI, dashboard, workflow, or automation solutions on large datasets.
- Strong Python capability for analysis, automation, validation, and reusable processing logic.
- Ability to work within or quickly adapt to PLX and Google internal analytics platforms.
- Practical understanding of data modeling, reporting architecture, ETL/ELT concepts, workflows, and BI delivery.
- Good understanding of business analytics and ability to align technical design with stakeholder outcomes.
- Ability to guide developers, review outputs, enforce quality, and troubleshoot complex issues.
- Exposure to BigQuery, Looker, Vertex, or GCP tools is useful but secondary to PLX-first delivery capability.
- Strong documentation, communication, and technical leadership skills.
Additional Information:
- The candidate should have minimum 7.5 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.