Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, including data pipelines, data quality 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.
• Act as an SME, collaborate with and manage the team, and take responsibility for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for the 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.

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.
• Ability to troubleshoot and resolve complex data-related issues efficiently.
• 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

• Based at the Bengaluru office.