Data Engineer - Databricks

Accenture PLC; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture PLC in Bengaluru is seeking a skilled Data Engineer with strong Databricks expertise to design, develop, and maintain scalable data pipelines for ETL and data processing. The role focuses on cloud-based data platforms, data integration, quality, and governance.

You will work with cross-functional teams to implement robust data solutions, monitor performance, and troubleshoot pipeline issues, ensuring reliable data delivery across the organization.

Qualifications

• 3+ years of hands-on Databricks experience.
• Strong understanding of data engineering concepts and ETL processes.
• Experience building scalable data pipelines and data integration.
• 15 years of full-time education is required.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimise ETL workflows for data processing and integration.
• Ensure data quality, reliability, and governance across pipelines.
• Work with cloud-based data storage and processing solutions.
• Monitor, troubleshoot, and optimise pipeline performance.
• Collaborate with cross-functional teams to deliver data engineering solutions.

Skills

Databricks

Data Engineering

ETL / ELT Pipelines

Data Integration

Data Processing

Data Quality

Databricks AND Data Engineering AND ET

Education

15 years of full-time education

Job description

We are looking for a skilled Data Engineer with strong experience in Databricks to design, develop, and maintain scalable data pipelines and data processing solutions. The candidate should have hands‑on experience in ETL processes, data integration, and cloud-based data platforms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimise ETL workflows for data processing and integration.
• Ensure data quality, reliability, and governance across pipelines.
• Work with cloud-based data storage and processing solutions.
• Monitor, troubleshoot, and optimise pipeline performance.
• Collaborate with cross-functional teams to deliver data engineering solutions.

Requirements:

• Minimum 3+ years of hands‑on experience with Databricks.
• Strong understanding of data engineering concepts and ETL processes.
• Experience in building and managing scalable data pipelines.
• Knowledge of cloud-based data platforms and data governance.
• Strong troubleshooting and problem‑solving skills.
• Qualification: 15 years of full-time education required.

Must-Have Skills:

• Databricks
• Data Engineering
• ETL / ELT Pipelines
• Data Integration
• Data Processing
• Data Quality
• Databricks AND Data Engineering AND ETL AND Data Pipelines