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), PySpark

Minimum 12 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 includes creating productive data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data throughout its lifecycle, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.

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.




- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of scalable data architectures to support business objectives.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate with stakeholders to align data engineering efforts with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Python (Programming Language), PySpark.
- Good To Have Skills: Experience with Python (Programming Language), PySpark.
- Strong expertise in building and optimizing data pipelines and workflows using modern data engineering tools.
- Experience in managing large-scale data processing and integration tasks across distributed systems.
- Ability to troubleshoot and resolve complex data-related issues to maintain data integrity and performance.
- Familiarity with cloud-based data platforms and best practices for data security and governance.

Additional Information
- The candidate should have minimum 12 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