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 : Python (Programming Language), Microsoft Azure Databricks, PySpark

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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems.

Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data solutions meet organizational needs effectively and reliably.

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 development and optimization of data pipelines to support business requirements.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate with stakeholders to understand data needs and translate them into technical specifications.
- Monitor and troubleshoot data workflows to ensure continuous and reliable data availability.

Qualified & 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 expertise in building and managing scalable data pipelines and ETL processes.
- Experience with distributed computing frameworks and big data technologies.
- Ability to optimize data workflows for performance and reliability.
- Familiarity with cloud-based data storage and processing solutions.

Additional Information
- The candidate should have minimum 7.5 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