Description

You will design and maintain scalable data infrastructure, ingestion pipelines, and transformation projects on Azure.

This role is on-site.

Responsibilities

• Build and quality-assure data software and pipelines for large-scale ingestion and transformation.
• Develop and maintain CI/CD pipelines and infrastructure as code using cloud-native tools.
• Ensure service reliability by implementing SRE practices, including monitoring, alerting, and on-call rotations.
• Mentor team members through design reviews, technical discussions, and prototyping.
• Collaborate with cross-disciplinary teams in a Scrum/Agile environment to deploy and audit cloud product processes.

Required Skills

• 5+ years of experience designing and delivering end-to-end Azure data solutions.
• Hands-on expertise with Azure Synapse and Azure Data Factory (ADF).
• Proficiency in Spark for large-scale data processing.
• Strong background in writing and optimizing complex SQL queries.
• Practical exposure to CI/CD, infrastructure as code, and containerization.
• Experience working within Agile/Scrum delivery methodologies.
• Knowledge of software engineering standards including unit testing and source control.

Preferred Skills

• Experience with PySpark or Python in data engineering workflows.

Key Skills

Education

Any Graduate