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  • Posted 2 days ago
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Job Description

About The Opportunity

A fast-scaling technology services firm operating in the Enterprise Cloud & Data Engineering space, we build scalable, secure, and high-performance data platforms for global clients—leveraging Azure ecosystem tools to transform raw data into real-time business intelligence. Our engineers architect cloud-native data pipelines, optimize storage & compute, and enable analytics-driven decision-making across industries—from fintech to healthcare to retail. Role & Responsibilities

  • Design and deploy scalable Azure data pipelines using Data Factory, Synapse Analytics, and Databricks for ingestion, transformation, and orchestration.
  • Develop and maintain data models (star/snowflake schemas) in Azure SQL DB, Azure Synapse, or Azure Data Lake Gen2.
  • Automate ETL/ELT workflows with ADF, PowerShell, and Python; ensure data lineage, validation, and quality checks.
  • Optimize Azure storage & compute costs by tuning pipelines, partitioning data, and implementing caching strategies.
  • Collaborate with data scientists and analysts to deliver curated datasets for ML and BI reporting.
  • Implement CI/CD for data pipelines using Azure DevOps, enforce Infrastructure-as-Code (IaC) via ARM/Bicep/Terraform.

Skills & Qualifications

Must-Have

  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Gen2
  • SQL
  • Python
  • ETL/ELT
  • CI/CD (Azure DevOps)
  • ARM/Bicep/Terraform

Preferred

  • Databricks
  • Power BI
  • Spark SQL

Benefits & Culture Highlights

  • On-site collaborative workspace with modern tech infrastructure and flexible work hours.
  • Direct exposure to enterprise-grade Azure projects with Fortune 500 clients.
  • Structured upskilling programs with Microsoft-certification sponsorship & mentorship.

Skills: data,analytics,etl,cd,devops,azure,cloud

More Info

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Job ID: 151487367

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