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 Valuable to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: Expert level skills writing and optimizing complex SQL and Python is a must Experience with complex data modelling, ETL design, and using large databases in a business environment Experience with large scale on-prem to cloud data-migration Experience with big-data technologies, data-lake/delta-lake solutions, cloud-based data platforms Fluent with industry standard technologies like Spark, Kafka Expert level understanding of Azure data ecosystem like Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Fabric, Azure Cosmos DB is required Experience is designing data integration strategies leveraging batch and real-time data ingestion methods 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.

Continuously evaluate and improve data processes to ensure efficiency and effectiveness.

Professional & Technical Skills: Expert level skills writing and optimizing complex SQL and Python is a must

Experience with complex data modelling, ETL design, and using large databases in a business environment

Experience with large scale on-prem to cloud data-migration

Experience with big-data technologies, data-lake/delta-lake solutions, cloud-based data platforms

Fluent with industry standard technologies like Spark, Kafka

Expert level understanding of Azure data ecosystem like Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Fabric, Azure Cosmos DB is required

Experience is designing data integration strategies leveraging batch and real-time data ingestion methods

Must To Have Skills: Proficiency in Data Engineering.

Strong experience with ETL processes and data pipeline development.

Familiarity with data warehousing concepts and technologies.

Proficient in programming languages such as Python or Java for data manipulation.

Experience with cloud platforms and services related to data storage and processing.

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.

📌 Data Engineer (Pune)
🏢 Accenture in India
📍 Pune