Project Role : Data Engineer
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 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Overview
The Lead or Senior Developer will own the technical design, development quality, and delivery of complex analytics solutions within the PLX-first ecosystem. This role is responsible for designing scalable workflows, reviewing code and SQL logic, guiding developers, resolving technical issues, and ensuring that solutions are robust, maintainable, and aligned with business analytics needs.
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.
Required Skills and Capabilities
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.
Indicative Experience
Typically 10+ years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.
Typically 8–12 years of experience in analytics delivery, BI, data solution delivery, techno-functional delivery, supply chain analytics, or related roles, including team or workstream leadership experience.
15 years full time education
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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 serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
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