Live opening · Posted 2 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Greenleaf Hub Enterprises (GHE) is looking for an experienced Azure Lead Data Engineer / Technical Architect to lead cloud-based data engineering solutions, drive technical architecture, and manage end-to-end delivery for client projects.
If you have strong expertise in Azure data platforms, ETL pipelines, data warehousing, and technical leadership, we’d love to hear from you!
📩 How to Apply
Interested candidates can share their updated resume at:
📧 apply@greenleafhubenterprises.com
📌 Job Details
Role: Azure Lead Data Engineer / Technical Architect
Experience: 10+ Years
Work Mode: 100% Remote
Engagement: C2C (Contract)
Contract Duration: 3 Months
Working Hours: 12 PM – 9 PM IST
Budget: Up to ₹1.5 Lakh/Month
Background Verification: Required
🛠️ Must-Have Technical Skills
✅ Azure Data Factory (ADF)
✅ Azure Data Lake Storage
✅ Azure Synapse Analytics
✅ Azure Databricks and PySpark
✅ SQL Server, Azure SQL, Oracle, MySQL, or similar databases
✅ Data warehousing, data modelling, ETL/ELT, and data integration
✅ Python and UNIX shell scripting
✅ Git/SVN, Jira, code reviews, and deployment workflows
✅ Technical solution architecture, HLD/LLD documentation, and project delivery leadership
🎯 Key Responsibilities
Design and implement scalable Azure data engineering solutions.
Lead architecture, detailed technical design, and implementation.
Build and optimize ETL pipelines, SQL applications, and data transformation workflows.
Guide development teams, conduct code reviews, and ensure architectural standards.
Collaborate with clients, business analysts, project managers, QA teams, and global stakeholders.
Lead proof of concepts and evaluate emerging data platforms and technologies.
Manage project delivery, technical documentation, defect resolution, and production support.
⭐ Good to Have
Snowflake, AWS, or GCP experience.
Apache Airflow, dbt, Informatica, or Talend.
NoSQL databases such as MongoDB.
AI/ML integration into data architectures.
Azure Data Engineer certification.
Strong client-facing and stakeholder management skills.
Work arrangement
Yes
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