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 : Databricks Unified Data Analytics Platform
Good to have skills : Microsoft Azure Databricks, Microsoft Azure Analytics Services, PySpark
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, alongside implementing extract, transform, and load processes to enable seamless data migration and deployment. Your work will contribute to building robust data infrastructure that supports organizational data needs and analytics initiatives.

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 transparency and facilitate knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, PySpark, Microsoft Azure Databricks, Microsoft Azure Analytics Services.
- Good To Have Skills: PySpark, Microsoft Azure Databricks, Microsoft Azure Analytics Services.
- Experience in building and managing scalable data pipelines and workflows using modern data engineering tools.
- Robust understanding of data integration techniques and best practices for data quality assurance.
- Familiarity with cloud-based data platforms and services to support data storage and processing.
- Ability to troubleshoot and resolve data-related issues efficiently to minimize downtime.

Additional Information:

- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.

15 years full time education

📌 Data Engineer (India)
🏢 Accenture
📍 India