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

Valuable to have skills : Python (Programming Language), Microsoft Azure Databricks, PySpark

Minimum 5 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 and ensure high data quality.

Your role includes implementing extract, transform, and load processes to migrate and deploy data seamlessly across various systems. You will work closely with different teams to optimize data handling and contribute to the overall data infrastructure, ensuring that data is accessible, reliable, and well-organized for business needs.

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 the design and implementation of scalable data architectures to support business objectives.
- Coordinate with stakeholders to understand data requirements and translate them into technical solutions.
- Mentor junior team members to enhance their technical skills and promote best practices.
- Continuously evaluate and improve existing data processes to increase efficiency and reliability.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Good To Have Skills: Experience with Microsoft Azure Databricks, PySpark, Python (Programming Language).
- Strong knowledge of data pipeline development and orchestration techniques.
- Experience with data integration, transformation, and migration strategies.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to troubleshoot and optimize data workflows for performance and scalability.

Additional Information
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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