About The Opportunity
A rapidly scaling tech consultancy in the Enterprise Data & Cloud Engineering space, we empower Fortune 500 and mid-market clients across India to modernize their data infrastructure on Microsoft Azure. Our engineers design, automate, and govern scalable data pipelines, lakehouse architectures, and real-time analytics systems that drive AI/ML adoption, compliance, and business agility. You'll work alongside client data teams to translate complex business logic into production-grade Azure-native solutions.
Role & Responsibilities
- Design and implement end-to-end Azure data pipelines using Data Factory, Synapse Analytics, and Databricks for batch and streaming workloads.
- Build and maintain scalable data models (star/snowflake) and data lakes/lakehouses on ADLS Gen2 with Delta Lake or Iceberg.
- Automate ETL/ELT workflows, monitor performance, and optimize cost across Azure data services using ARM templates and Azure DevOps CI/CD.
- Ensure data governance, lineage, and quality by integrating Purview, Azure Monitor, and custom validation rules into pipelines.
- Collaborate with data scientists and analysts to provision curated datasets for Power BI, ML experiments, and AI inference.
- Document architecture decisions, pipeline logic, and troubleshooting playbooks for handover and client enablement.
Skills & Qualifications
- Must-Have
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- ADLS Gen2
- SQL
- PySpark
- Power BI
- Azure DevOps
- Preferred
- Delta Lake or Iceberg
- Apache Kafka or Event Hubs
- Microsoft Certified: Azure Data Engineer Associate
Benefits & Culture Highlights
- Work on high-impact, client-facing projects with Fortune 500 and fast-growth Indian enterprises.
- Access to Azure labs, certification reimbursements, and architecture mentoring from cloud architects.
- On-site collaborative workspace in major Indian tech hubs — hybrid flexibility under review.
Skills: azure,architecture,pipelines,data
