
Technical Lead
- ₹6L – ₹10L • No equity
- |
- |5 years of exp
- |Full Time
In office
Not Available
About the job
Technical Lead
Job Description
Role Overview
We are seeking a highly skilled Data Engineering Lead with minimum of 5 years of hands-on experience in Azure data engineering, data warehousing, and automation-driven
integration. The ideal candidate should be a proven technical lead, capable of driving end-to-end project delivery and working closely with customer teams. This is a Work from Office / Customer Site role.
Roles and Responsibilities
• Lead the design, development, and delivery of data engineering and automation projects.
• Architect and implement ETL/ELT pipelines using Azure Data Factory.
• Design and manage enterprise data warehouses including dimensional modeling and schema optimization.
• Manage Azure components including Storage Accounts, Data Lakes, Azure SQL, and Synapse.
• Drive automation initiatives across data ingestion and transformation workflows.
• Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
• Mentor team members and enforce engineering best practices.
• Serve as the technical anchor responsible for ensuring high-quality, on-time delivery.
Skills and Qualification
• Strong hands-on experience with Azure Data Factory, Azure Storage, Azure SQL/Synapse.
• Deep understanding of data warehousing concepts: star/snowflake schemas, fact/dimension modeling.
• Experience with automation-led data engineering solutions.
• Strong troubleshooting, optimization, and analytical skills.
• Excellent communication and stakeholder management abilities.
• Proven experience as a Technical Lead leading teams and delivery.
Must Have
• Min of 5 years of relevant data engineering experience.
• Strong Azure Data Engineering and Data Warehousing expertise.
• Proven Technical Lead experience.
• Ability to work from office and customer site.
• Strong ownership mindset with a focus on quality and delivery excellence.
About the company

Chiacon Consulting
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