10 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, processing, migration, and deployment across systems.
- 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 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 data models, workflow structures, performance, maintainability, solution design, and troubleshooting.
- Support production issue resolution, root-cause analysis, defect fixes, and enhancement prioritization.
- Identify reusable components and development standards and improve delivery efficiency.
- Collaborate with analysts, managers, consultants, and stakeholders to clarify requirements and resolve ambiguity.
- Mentor junior developers and help build technical capability across the team.
Requirements
- At least 5 years of experience in analytics solution development, SQL development, BI engineering, reporting automation, or related roles.
- Proficiency in Oracle Procedural Language Extensions to SQL (PL/SQL).
- 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.
- Understanding of business analytics and ability to align technical designs with stakeholder outcomes.
- Ability to guide developers, review outputs, enforce quality, and troubleshoot complex issues.
- Exposure to BigQuery, Looker, Vertex, or other GCP tools is useful.
- Strong documentation, communication, and technical leadership skills.
- 15 years of full-time education.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.