Lead Data Engineer
Chennai, Tamil Nadu, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingDesign, build, and scale the Digital Experience Analytics & Insights platform
Guide and mentor junior engineers to build a high-performing team
Build data foundations and AI-driven decision systems
From the employer’s posting
design, build, and scale our next-generation Digital Experience Analytics & Insights platform
can guide and mentor other junior engineers to build a strong high performing team
create data foundations and AI-driven decision systems
What you’ll bring
All qualificationsCore experience
- 6-10 years of Azure data engineering experience
- At least 2 years with Adobe Analytics
- Hands-on experience with Databricks and the DBT framework
- Strong SQL skills
- Proficiency in Python and Linux scripting for data work
Qualification wording
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
6-10 years strong hands-on experience with SQL for querying and data manipulation
Proficiency in Python for data engineering and automation tasks
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- dbt
- GCP
- Power BI
- Snowflake
Source — Tool mentions in context
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. Requirements 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 29, 2026 · 30 days ago
- Recorded sightings
- 70
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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. Requirements 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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, Tamil Nadu, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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