01Overview
About the Opportunity A fast-scaling enterprise technology partner specializing in cloud data modernization and AI-driven analytics, we help global clients architect scalable data ecosystems on Microsoft Azure. Our team delivers end-to-end data engineering solutionsfrom ingestion and transformation to MLops and real-time analyticspowering data-driven decisions for Fortune 500 and mid-market firms across BFSI, healthcare, and retail sectors.
Role & Responsibilities
- Design, build, and maintain scalable Azure data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Optimize data workflows for performance, cost-efficiency, and reliability across batch and streaming workloads.
- Implement data governance, lineage, and security standards using Azure Purview and RBAC controls.
- Collaborate with data scientists and analysts to operationalize machine learning models via Azure ML and MLflow.
- Automate deployment and monitoring of data infrastructure using Infrastructure-as-Code (IaC) tools like Terraform or ARM templates.
- Partner with cross-functional teams to translate business requirements into technical data architecture blueprints.
Skills & Qualifications
Must-Have
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- PySpark
- SQL
- Python
- Terraform
- Git
Preferred
- Azure ML
- Delta Lake
- MLflow
Benefits & Culture Highlights
- Work with Fortune 500 clients on cutting-edge Azure data projects impacting global business outcomes.
- On-site collaborative environment with mentorship from Azure-certified architects and data scientists.
- Chance to earn Azure Fundamentals, DP-203, or DP-204 certifications sponsored by the company. .
