Data Engineer

Accenture; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Accenture in Pune is seeking a Data Engineer to design, develop and maintain comprehensive data solutions for data generation, collection and processing. You will create data pipelines, ensure data quality and implement ETL to migrate data across systems, enabling access for multiple teams and applications.

The role requires a minimum of 5 years in data engineering and 15 years of full-time education. Proficiency in Python, Kubernetes, and GitLab CI/CD is essential, with advanced knowledge of

Qualifications

• Minimum 5 years of experience in Data Engineering.
• 15 years of full-time education required.
• Solid proficiency in data pipelines, ETL processes and data quality.
• Strong knowledge of Python, Kubernetes, GitLab CI/CD, and SQL.
• Experience with Azure data services and Databricks is preferred.

Responsibilities

• Design, develop and maintain data solutions for data generation, collection, and processing.
• Create data pipelines, ensure data quality, and implement ETL to migrate data across systems.
• Collaborate with multiple teams and stakeholders to align data initiatives with business goals.
• Mentor juniors and lead scalable data architecture design.
• Troubleshoot and optimize large-scale data pipelines and embeddings.

Skills

Data Engineering

Python

Kubernetes

GitLab CI/CD

Azure Open AI

SQL

Education

15 years full time education

Tools

Data Lake (ADLS)

Data Factory (ADF)

Synapse

Purview

Databricks

Delta Lake

Spark

LangChain / LangGraph

Azure OpenAI

Docker / containerization

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 (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering, Python (Programming Language), GitLab CI/CD, Kubernetes, Azure Open AI, kubernates
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of scalable data architectures to support business needs.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate cross-functional efforts to align data engineering initiatives with organizational goals.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Kubernetes, GitLab CI/CD, SQL for data processing and pipeline development.
• Hands-on with Azure data services: Data Lake (ADLS), Data Factory (ADF), Synapse, Purview. Familiarity with Databricks (Delta Lake, Spark jobs, notebooks).
• Experience with vector databases and embedding pipelines for GenAI/RAG.
• Knowledge of data governance, security, and compliance frameworks.CI/CD experience (Azure DevOps, GitHub Actions) and containerization (Docker/Kubernetes basics).
• Exposure to LangChain/LangGraph, CrewAI, or similar agent orchestration frameworks.
• Experience with Azure OpenAI, Cognitive Search, and AI Studio.
• Familiarity with data quality frameworks (Great Expectations, Deequ).
• Knowledge of streaming (Kafka/Event Hubs) and real-time data products.
• Performance tuning for large-scale embeddings and distributed compute
• Strong experience in building and optimizing data pipelines and architectures.
• Expertise in managing large-scale data processing systems and ensuring data quality.
• Familiarity with cloud platforms and container orchestration for deploying data solutions.
• Ability to troubleshoot and resolve complex data integration and migration challenges.

Additional Information:

• The candidate should have minimum 5 years of experience in Data Engineering.
• This position is based at our Pune 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 atwww.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.