Cloud Data Engineer | Azure & DataOps Pipelines
Summary
Designs and maintains scalable Azure-based data pipelines and hybrid cloud platforms using Spark, Python, and DataOps practices.
Psybergate is seeking a data engineering professional to design and maintain scalable data pipelines and hybrid cloud data platforms in a data-driven environment. You will implement DataOps, CI/CD, and IaC to automate deployment, while ensuring data security and governance across WFH friendly and on‑prem setups.
The role requires hands-on experience with Azure, Spark, Python, and ETL/ELT processes, and involves mentoring junior engineers and collaborating with cross‑functional teams.