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 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 reliable and scalable data operations within the organization. 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 efforts to optimize data workflows and improve system performance.
• Mentor junior team members to support their professional growth and skill development.
• Coordinate cross-functional collaboration to align data engineering efforts with organizational goals. 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 knowledge of data pipeline architecture and ETL process design.
• Experience in managing large-scale data processing and integration tasks.
• Ability to troubleshoot and resolve complex data-related issues efficiently.
• Familiarity with cloud-based data platforms and distributed computing frameworks. 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