G4 - Lead Data Engineer - SV

Sampoorna Consultants • Commerce • Python • SQL • Power BI • Azure Data Factory • 5 days ago
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Salary
≈ $27k – $58k per year (Estimated)
Location
In office (Chennai)
Seniority
Staff · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 17, 2026.

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Profile match

Sampoorna Consultants

Sampoorna Consultants is an IT recruitment firm headquartered in Mumbai that places IT, ITES and telecom professionals through its Sampoorna Computer People permanent hiring division, Sampoorna Top Search executive search practice, startup services and ICT contract staffing. Established in 1990 by the late Satish Doshi, it holds ISO 9001:2015 certification, is a founder member of the Executive Recruiters Association and has offices in Mumbai, Bengaluru, Chennai, Hyderabad, Delhi NCR and Pune. Its listings are mostly client vacancies such as Java, .NET and data engineers, SAP consultants and technical project managers, plus in-house recruiter and trainee roles.
sampoorna.com • HQ: Mumbai, India • Recruiting & Staffing • 51-200 employees • Est. 1990
  • Role Overview
  • We are seeking a highly skilled Lead Data Engineer to design, build, and scale our next-generation Digital Experience Analytics & Insights platform, who can guide and mentor other junior engineers to build a strong high performing team.
  • You will collaborate closely with data engineers, product managers, and analytics teams to create data foundations and AI-driven decision systems that maximize business impact while ensuring scalability and technical excellence.
  • Expected Qualifications
  • 6 - 10 years of relevant experience in Azure Data Engineering.
  • Minimum 2 years of experience working with Adobe Analytics.
  • Strong Agentic AI Experience in Databricks and expertise in DBT framework for data transformation and processing.
  • Proficiency in Python for data engineering and automation tasks.
  • 6-10 years strong hands-on experience with SQL for querying and data manipulation.
  • Linux scripting experience for data ingestion and manipulation.
  • Strong experience in data architecture, data modeling, data quality and governance, and working knowledge on data warehouses such as Snowflake, for data processing and operationalization
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication skills to collaborate with technical and non-technical teams who can efficiently work in onsite-offshore model
  • Collaborates with other cloud teams for deployment on Azure or GCP
  • Knowledge of CI/CD, DevOps, and Infrastructure as Code (IaC) practices is an advantage
  • Experience working with Azure Data Factory (ADF), Azure Data Lake, and PowerBI is a plus.
  • Prior experience in e-commerce domain is a plus.
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