Design, develop, and maintain data solutions, pipelines, and ETL processes for generating, collecting, processing, migrating, and deploying data. Ensure data quality, governance, security, and compliance while using cloud platforms, Databricks, vector databases, and GenAI/RAG technologies. Collaborate across teams, make technical decisions, provide solutions, and mentor junior data engineers. The role requires expertise in data modeling, database design, SQL, NoSQL, Python, and cloud data services.
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 : Generative AI
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. A typical day involves creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability.
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.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Python, , Azure data services, Databricks, vector databases, embedding pipelines for GenAI/RAG, data governance, security, and compliance frameworks, containerization, CrewAI, Azure DevOps.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Python (Programming Language), Generative AI.
- Strong understanding of data modeling and database design principles.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in SQL and NoSQL databases for data storage and retrieval.
Additional Information:
- The candidate should have minimum 7.5 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
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 : Generative AI
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. A typical day involves creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability.
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.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Python, , Azure data services, Databricks, vector databases, embedding pipelines for GenAI/RAG, data governance, security, and compliance frameworks, containerization, CrewAI, Azure DevOps.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Python (Programming Language), Generative AI.
- Strong understanding of data modeling and database design principles.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in SQL and NoSQL databases for data storage and retrieval.
Additional Information:
- The candidate should have minimum 7.5 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 at www.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.
Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
