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, Databricks Unified Data Analytics Platform, PySpark
Good to have skills : NA
Minimum 3 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 effective 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 extract, transform, and load processes to facilitate smooth data flow and accessibility within the organization.



Collaboration with different teams to align data infrastructure with business needs is also a key aspect of the daily routine.

Roles & Responsibilities:
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
Monitor and optimize data pipelines to ensure high performance and reliability.
Document data processes and workflows to maintain clarity and support knowledge sharing.
Assist junior team members by providing guidance and support in their tasks.

Skilled & Technical Skills:
Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
Robust knowledge of data pipeline architecture and ETL process design.
Experience with distributed computing frameworks and b

📌 Data Engineer Pune (India)
🏢 Accenture
📍 India