Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes. Ensures data quality, manages data migration across systems, optimizes workflows, and supports distributed data platforms. The role also involves making team decisions, collaborating across multiple teams, mentoring junior engineers, and aligning data strategies with organizational goals.
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 : 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 seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate smooth data flow and accessibility, enabling teams to leverage data effectively for their objectives.
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 efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their professional growth and skill development.
- Coordinate cross-functional collaboration to align data strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing scalable data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management systems.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to ensure data quality through validation, cleansing, and transformation techniques.
- Competence in scripting and programming languages commonly used in data engineering.
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
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 : 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 seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate smooth data flow and accessibility, enabling teams to leverage data effectively for their objectives.
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 efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their professional growth and skill development.
- Coordinate cross-functional collaboration to align data strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing scalable data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management systems.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to ensure data quality through validation, cleansing, and transformation techniques.
- Competence in scripting and programming languages commonly used in data engineering.
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 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 Kolkata, West Bengal, IND Office
Unitech Hi-Tech Structures Limited (It/Ites Sez), Block No. Dh Plot. DH1, DH2, DH3, next to Gate No:3, Action Area I, Rajarhat, Kolkata, West Bengal, India, 700156
Accenture Kolkata, West Bengal, IND Office
Kolkata, West Bengal, India
Similar Jobs
Information Technology
Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes. Ensures data quality, supports data migration across systems, optimizes workflows, and improves performance. Acts as a subject matter expert, leads team decisions, mentors junior engineers, and coordinates cross-functional data initiatives. Requires at least five years of data engineering experience, proficiency with scalable pipelines, databases, cloud platforms, distributed computing, and data validation techniques.
Top Skills:
Cloud Data PlatformsData PipelinesDatabase Management SystemsDistributed Computing FrameworksETL
Agency • Information Technology
Designs, develops, tests, and maintains scalable ETL pipelines using Azure services and streaming technologies. Collaborates with architects, analysts, scientists, and business stakeholders to ensure data accuracy and integrity. Builds data models and documentation, optimizes workflows, monitors production data flows, troubleshoots issues, implements data-quality controls, and integrates cloud and on-premise storage while supporting governance, security, and privacy standards.
Top Skills:
Azure Cloud FunctionsAzure Data FactoryAzure DatabricksCi/CdGitJenkinsOraclePostgresPythonScalaShellSQLSQL Server
Artificial Intelligence • Software
Own EULER’s data lifecycle, including instrumentation, validation, reconciliation, privacy, anonymization, canonical data modeling, analytics datasets, documentation, and production pipelines. The role requires strong SQL, software engineering practices, independent ownership, skepticism toward data quality, and clear communication. Preferred experience includes GDPR/LGPD, multi-tenant B2B SaaS, dbt, statistics, Cloudflare Workers, Postgres, Parquet, DuckDB, and Bubble.
Top Skills:
BubbleCloudflare WorkersDbtDuckdbHyperdriveParquetPostgresSQL
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
