Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, creating data pipelines and ETL processes to migrate and deploy data across systems.

What you'll do

• Design, develop and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and ensure data quality.
• Implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Collaborate with multiple teams to optimize data handling and contribute to the overall data infrastructure.
• Lead efforts to optimize data workflows and improve system performance.
• Troubleshoot and resolve complex data-related issues efficiently.
• Mentor junior team members to support their professional growth and skill development.
• Coordinate cross-functional collaboration to align data engineering efforts with organizational goals.

What you'll need

• Minimum 5 years of experience in Databricks Unified Data Analytics Platform.
• Proficiency in Databricks Unified Data Analytics Platform.
• Proficiency in Microsoft Azure Databricks.
• Proficiency in PySpark.
• Proficiency in Python (Programming Language).
• Strong knowledge of data pipeline architecture and ETL process design.
• Experience in managing large-scale data processing and integration tasks.
• Familiarity with cloud-based data platforms and distributed computing frameworks.
• 15 years full time education.

Nice to have

• Experience with Microsoft Azure Databricks.
• Experience with PySpark.
• Experience with Python (Programming Language).

Details

• Location: Bengaluru office.