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 : Microsoft Azure Databricks
Good to have skills : NA
Minimum 7.5 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to support organizational data needs and optimize data workflows.

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 pipeline performance and scalability.
- Facilitate knowledge sharing and mentoring within the team to support professional growth.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience with data pipeline orchestration and workflow management.
- Robust understanding of cloud-based data storage and processing architectures.
- Ability to design and implement scalable ETL processes.
- Familiarity with data quality frameworks and monitoring techniques.
- Knowledge of distributed computing and big data technologies.

Additio

📌 Data Engineer (Pune)
🏢 Accenture
📍 Pune