Data Engineer

Overview

Data Engineer responsible for building Azure-based data solutions, managing ETL/ELT pipelines, and supporting database and integration requirements.

What you'll do

• Design and develop data pipelines using Azure Data Factory and Databricks.
• Integrate data sources and optimize data processing and storage.
• Design, maintain, and optimize SQL, PostgreSQL, and Azure databases.
• Manage ETL/ELT extraction, transformation, and loading processes.
• Implement CI/CD pipelines and use Git for collaboration.
• Gather integration requirements and coordinate with stakeholders, partners, and technical teams.
• Resolve issues within SLA guidelines and support business users.

What you'll need

• 3–7 years of overall experience in Data Engineering.
• Bachelor’s or master’s degree in computer science or computer applications.
• Hands-on experience with Azure Data Factory and Databricks.
• Expertise in Python, database management, and ETL/ELT concepts.
• Knowledge of data analysis, data modelling, data profiling, and analytics solution architecture.
• Knowledge of DevOps, Agile methodologies, CI/CD pipelines, and Git.

Details

• Location: Hyderabad.
• Employment type: Full time.
• Regular working hours: 11 AM to 8:00 PM IST.
• Additional EST time-zone overlap may be required during production go-live.