
Hybrid
Full-Time
Pune, Maharashtra
India
About the Role
We're Hiring: Lead Data Engineer (Azure)
Location : Pune / Trivandrum | Time : 1:00 PM – 10:00 PM IST
Are you passionate about leading data-driven transformations in the cloud?
Claidroid Technologies Pvt. Ltd., a fast-growing global tech company, is looking for a Senior Azure Data Engineer (Lead) to drive the design, development, and deployment of intelligent data platforms that power smart enterprises.
About Claidroid
At Claidroid, we solve real-world problems at the intersection of ServiceNow/ Cybersecurity & IAM / Cloud Computing, AI/ML, AIOps and Geospatial Intelligence
With our footprints across India, Finland, and the USA, we partner with global enterprises to engineer smarter, safer, and more resilient systems. Our engagements span ETL modernization, platform engineering, cloud security, and intelligent infrastructure.
Role Overview: Lead Data Engineer (Azure)
As a Senior Azure Data Engineer (Lead), you will:
Architect and build scalable data platforms using Microsoft Azure
Lead a team of engineers, set best practices, and ensure high-quality deliverables
Collaborate with business stakeholders to align data solutions with strategic goals
Own end-to-end lifecycle: from data ingestion to analytics enablement
Tech Stack & Responsibilities
Technical Leadership:
Drive architecture for Azure-based enterprise data platforms
Lead the implementation of Data Factory, Synapse, Databricks, Blob Storage, and Data Lake
Define and enforce standards for data pipeline governance, security, and performance
Data Engineering:
Design and implement scalable ETL/ELT pipelines for structured/unstructured data
Model data using star/snowflake schemas, and apply data vault methodologies
Optimize SQL and Python/PySpark code for high-volume performance
DevOps & Cloud Enablement:
Automate deployments using Azure DevOps, CI/CD, ARM templates, and GitHub Actions
Monitor resources for performance, cost, and compliance
Stay current with Azure innovations (e.g., Purview, Fabric)
Qualifications
8–12 years of relevant experience in Data Engineering
Minimum 5 years hands-on with Azure data tools
Proficiency in SQL, Python/PySpark, and Spark
Prior experience in team leadership or managing technical delivery
Exposure to Power BI (DAX, modeling) is a plus
Azure Certifications preferred: DP-203, DP-700, AZ-305
Solutions Architect preferred
Role Details
Shift Timing: 1:00 PM – 10:00 PM IST
Work Mode: Work-from-home / Hybrid
Locations: Pune or Trivandrum
Joiners: Preferably Immediate or <30 days’ notice
Why Join Claidroid?
Global Reach: Presence in India, Europe, and the US
Impactful Work: Help build cloud platforms used by critical infrastructure & enterprises
Tech-Led Growth: Exposure to latest tools in Azure, AI/ML, AIOps, and more
Flat Hierarchy: Work directly with thought leaders
Culture of Innovation: You’ll never stop learning here
Ready to lead the future of data engineering?
Apply now
Location : Pune / Trivandrum | Time : 1:00 PM – 10:00 PM IST
Are you passionate about leading data-driven transformations in the cloud?
Claidroid Technologies Pvt. Ltd., a fast-growing global tech company, is looking for a Senior Azure Data Engineer (Lead) to drive the design, development, and deployment of intelligent data platforms that power smart enterprises.
About Claidroid
At Claidroid, we solve real-world problems at the intersection of ServiceNow/ Cybersecurity & IAM / Cloud Computing, AI/ML, AIOps and Geospatial Intelligence
With our footprints across India, Finland, and the USA, we partner with global enterprises to engineer smarter, safer, and more resilient systems. Our engagements span ETL modernization, platform engineering, cloud security, and intelligent infrastructure.
Role Overview: Lead Data Engineer (Azure)
As a Senior Azure Data Engineer (Lead), you will:
Architect and build scalable data platforms using Microsoft Azure
Lead a team of engineers, set best practices, and ensure high-quality deliverables
Collaborate with business stakeholders to align data solutions with strategic goals
Own end-to-end lifecycle: from data ingestion to analytics enablement
Tech Stack & Responsibilities
Technical Leadership:
Drive architecture for Azure-based enterprise data platforms
Lead the implementation of Data Factory, Synapse, Databricks, Blob Storage, and Data Lake
Define and enforce standards for data pipeline governance, security, and performance
Data Engineering:
Design and implement scalable ETL/ELT pipelines for structured/unstructured data
Model data using star/snowflake schemas, and apply data vault methodologies
Optimize SQL and Python/PySpark code for high-volume performance
DevOps & Cloud Enablement:
Automate deployments using Azure DevOps, CI/CD, ARM templates, and GitHub Actions
Monitor resources for performance, cost, and compliance
Stay current with Azure innovations (e.g., Purview, Fabric)
Qualifications
8–12 years of relevant experience in Data Engineering
Minimum 5 years hands-on with Azure data tools
Proficiency in SQL, Python/PySpark, and Spark
Prior experience in team leadership or managing technical delivery
Exposure to Power BI (DAX, modeling) is a plus
Azure Certifications preferred: DP-203, DP-700, AZ-305
Solutions Architect preferred
Role Details
Shift Timing: 1:00 PM – 10:00 PM IST
Work Mode: Work-from-home / Hybrid
Locations: Pune or Trivandrum
Joiners: Preferably Immediate or <30 days’ notice
Why Join Claidroid?
Global Reach: Presence in India, Europe, and the US
Impactful Work: Help build cloud platforms used by critical infrastructure & enterprises
Tech-Led Growth: Exposure to latest tools in Azure, AI/ML, AIOps, and more
Flat Hierarchy: Work directly with thought leaders
Culture of Innovation: You’ll never stop learning here
Ready to lead the future of data engineering?
Apply now