Data Engineer

Accenture in India; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A global technology consultancy in Bengaluru is seeking a Data Engineer with a strong AI-first mindset. The role involves designing, developing, and maintaining data solutions, ensuring data quality, and implementing ETL processes. Ideal candidates will have at least 5 years of experience and a firm grasp of Google BigQuery, Python, and SQL. Experience in data integration, cloud native services, and a partnership approach in agile environments is essential. This full-time position invites professionals ready for challenges and innovation in IT and consulting.

Qualifications

• 5 years of experience required.
• Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.
• Proficiency in BigQuery SQL language.

Responsibilities

• Design, develop and maintain data solutions for data processing.
• Create data pipelines and ensure data quality.
• Implement ETL processes to migrate and deploy data.

Skills

Google BigQuery

Microsoft SQL Server

Google Cloud Data Services

Shell Scripting

Python

SQL

Pandas

NumPy

Kafka Streaming

DataProc

Pub/Sub

Looker

Cloud Function

Composer

Kubernetes

Control-M

GitHub

JIRA

Confluence

Education

15 years of full-time education

Job description

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 processes to migrate and deploy data across systems.

Summary

Seeking a forward‑thinking professional with an AI‑first mindset to design, develop, and deploy enterprise‑grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Skills

• Must have: Google BigQuery
• Good to have: Microsoft SQL Server, Google Cloud Data Services

Minimum Experience

5 years of experience required.

Educational Qualification

15 years of full‑time education.

Key Responsibilities & Technical Requirements

• Experience with DataProc, Pub/Sub, Dataflow, Kafka Streaming, Looker, and SQL (No FLEX).
• Proven track record of delivering data integration and data warehousing solutions.
• Strong SQL and hands‑on experience (No FLEX).
• Experience with data integration and migration projects.
• Proficient in BigQuery SQL language (No FLEX).
• Understanding of cloud native services: bucket storage, BigQuery, Cloud Function, Pub/Sub, Composer, and Kubernetes.
• Experience in cloud solutions, mainly data platform services, GCP Certifications (preferred).
• Experience in Shell Scripting, Python (NO FLEX), Oracle, SQL.
• Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.
• Expert in Python, strong knowledge of SQL and Python programming using Pandas, NumPy, deep understanding of data structures.
• Proficiency with tools to automate AZDO CI/CD pipelines like Control‑M, GitHub, JIRA, Confluence, CI/CD Pipeline.
• Performance tuning of BigQuery SQL scripts.
• Working in agile environment.

Professional Attributes

• Good communication skills.
• Ability to collaborate with different teams and suggest solutions.
• Can work independently with little supervision or as part of a team.
• Good analytical problem‑solving skills.
• Good team‑handling skills.

Additional Information

Candidate should be ready for Shift B and work as an individual contributor.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industry

IT Services and IT Consulting