Website Accenture
Accenture Recruitment 2026: Data Engineer – Python Specialist (Chennai)
Accenture in India is hiring a Data Engineer specialising in Python for its analytics and technology team in Chennai, Tamil Nadu. This is a senior Subject Matter Expert (SME) position requiring a minimum of 5 years of full-time hands-on experience in Python programming alongside robust skills in building scalable ETL pipelines and managing enterprise data solutions.
The ideal candidate will lead cross-functional data initiatives, mentor junior engineers, optimise data architectures, and ensure seamless data integration across cloud and on-premises environments.
Job Overview
| Attribute | Details |
| Role | Data Engineer |
| Project Role | Data Engineer / SME |
| Company | Accenture in India |
| Location | Chennai, Tamil Nadu, India |
| Experience | 5+ Years (Mandatory) |
| Education | 15 Years of Full-Time Education (Graduation/Post-Graduation) |
| Core Technical Skill | Python (Programming Language) |
| Domain Stack | ETL/ELT, Data Pipelines, Data Modelling, Cloud (AWS / Azure), Data Warehousing |
Roles and Responsibilities
-
Data Solution Engineering: Design, build, and maintain enterprise data processing frameworks, custom data pipelines, and scalable ETL workflows using Python.
-
Technical Subject Matter Expertise (SME): Serve as a technical SME, driving critical architectural and implementation decisions across multiple engineering and analytics teams.
-
Team Leadership & Mentorship: Guide, mentor, and upskill junior data engineers in Python best practices, code optimization, and data governance.
-
Data Quality & Governance: Establish rigorous data validation, data modelling, and schema management practices to maintain high data integrity and reliability.
-
Cross-Functional Collaboration: Partner with cross-functional technical teams, business analysts, and cloud architects to align data availability with enterprise decision-making requirements.
-
Process Optimization: Continuously evaluate, refactor, and tune existing ETL scripts and data ingestion pipelines to maximize performance and execution efficiency.
Candidate Qualifications & Skill Requirements
Must-Have Skills
-
Python Expertise: Minimum 5 years of core hands-on experience writing production-grade Python code for data processing, script automation, and ETL operations.
-
Education: Minimum of 15 years of formal full-time education (e.g., 10+2+3 or 10+2+4 degree formats).
Technical & Functional Competencies
-
Data Modelling & Architecture: Solid background in relational database design, dimensional modeling, star/snowflake schemas, and data warehousing concepts.
-
ETL & Data Integration: Proven experience integrating disparate data sources using custom scripts or enterprise ETL frameworks.
-
Cloud Platform Familiarity: Practical working knowledge of cloud-native data processing and storage solutions on platforms like AWS (S3, Glue, Redshift) or Microsoft Azure (Blob Storage, Data Factory, Synapse).
-
Problem Solving & Mentorship: Demonstrated experience in technical problem-solving and leading engineering teams toward shared deliverables.
About Accenture
Accenture is a leading global professional services firm delivering digital, cloud, and security solutions. Powered by a worldwide network of Advanced Technology and Intelligent Operations centers, Accenture integrates strategy, consulting, technology, and operations across more than 40 industries. With hundreds of thousands of professionals operating across 120+ countries, Accenture focuses on applying technology and human ingenuity to solve complex enterprise challenges.
Follow Us