Azure Cloud Engineer(Azure Data Services , Azure, pyspark, Data Lake)

3 years

6 - 24 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Azure Data Engineer

Industry & Sector:

High-growth Digital Transformation & Cloud Data Analytics provider serving global enterprises across retail, BFSI, and manufacturing.We leverage Microsoft Azure to deliver mission-critical, real-time analytics platforms that unlock business value from structured and unstructured data at scale.Role & Responsibilities
  • Design, build, and maintain end-to-end data pipelines on Azure Data Lake, Databricks, and Synapse for petabyte-scale workloads.
  • Develop PySpark code for ingestion, transformation, and aggregation, ensuring optimized partitioning and cost-efficient compute.
  • Implement CI/CD with Azure DevOps and IaC templates to automate infrastructure and deployment.
  • Monitor data quality, lineage, and performance using Azure Monitor, Log Analytics, and custom metrics dashboards.
  • Collaborate with data scientists, product owners, and business stakeholders to translate analytical requirements into production-ready datasets.
  • Enforce best-practice security patterns: RBAC, managed identities, and encryption at rest/in-flight across all data services.

Skills & Qualifications

Must-Have

  • 3+ years hands-on building data engineering solutions on Azure.
  • Expertise in PySpark and Delta Lake on Databricks or Synapse Analytics.
  • Strong SQL skills and proven performance tuning for large datasets.
  • Proven experience with Azure Data Factory orchestration and ADLS Gen2.
  • Solid grasp of CI/CD, Git, and automated testing for data pipelines.

Preferred

  • Knowledge of Power BI or other BI tools for data visualization.
  • Exposure to Terraform or Bicep for IaC.
  • Experience hardening cloud environments to meet ISO/SOC compliance.
Benefits & Culture Highlights
  • On-site, high-energy engineering hub that values continuous learning and peer mentoring.
  • Azure certification sponsorships and access to bleeding-edge sandbox environments.
  • Performance-linked rewards and clear growth pathways into architecture leadership.
Workplace Type: On-Site | Location: India
Skills: bicep,azure data services,power bi,ci/cd,terraform,data lake,databricks,delta lake,azure data factory,adls gen2,synapse analytics,sql,pyspark,azure devops,azure

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