Senior Data Engineer - Enterprise Data Team

Overview

Senior Data Engineer responsible for building and operating large-scale data solutions on Azure or a comparable cloud platform, while contributing to technical design, delivery, and team development.

What you'll do

• Build production-quality code with unit and integration tests.
• Design and implement pipelines for structured and unstructured data.
• Review code, test cases, technical designs, and estimates.
• Deploy changes and manage release branches and environments.
• Monitor pipeline health, data quality, and system performance.
• Resolve production issues and support periodic ETL processes.
• Coach junior engineers and contribute to agile planning.

What you'll need

• 4+ years designing and implementing end-to-end data solutions.
• Strong SQL and Python skills for data engineering.
• Experience with Azure or a comparable cloud platform.
• Experience building ETL/ELT pipelines for large data volumes.
• Knowledge of data warehousing and data modelling techniques.
• Hands-on experience with ADF and SQL Server or equivalents.
• Bachelor's degree in Computer Science, IT, or a related discipline.

Nice to have

• Familiarity with Docker or Kubernetes.
• Exposure to data quality, observability, or governance practices.
• Experience mentoring junior engineers.
• Experience working with stakeholders across multiple time zones.

Details

• Location: Hyderabad.
• Hybrid and flexible work arrangements are available.
• Periodic ETL support aligns with Indian time zones and may fall outside standard Australia business hours.