About the Prospect
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 solutions—from ingestion and transformation to MLops and real-time analytics—powering 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.
Benefits & Culture Highlights
Work with Fortune 500 clients on cutting-edge Azure data projects impacting global business outcomes.
On-site team-oriented 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.