Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Bengaluru
>
Infogain
>
Azure Data Engineer (Lead)

Azure Data Engineer (Lead)

Infogain

11 - 12 years

32 - 40 Lacs

Bengaluru

Posted:1 month ago| Platform:

Apply

Skills Required

Solution architecture Computer science Performance tuning data services Architecture Data modeling Engineering projects microsoft azure Information technology SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary:

We are seeking a seasoned

Lead Data Engineer

with deep expertise in the

Azure Data Stack

and hands-on experience in

Microsoft Fabric

. The ideal candidate will have led or been a key part of at least one Fabric implementation and possess a strong background in designing, developing, and delivering enterprise-grade data engineering solutions. This role will be pivotal in driving data strategy, governance, and platform modernization initiatives.

Key Responsibilities:

Lead and architect end-to-end data engineering solutions using
Microsoft Fabric
Work closely with cross-functional teams to define data strategy, architecture, and integration patterns
Design and implement scalable data pipelines, dataflows, and data lakes using Azure Data Services
Oversee and mentor a team of data engineers and ensure best practices are followed
Ensure data governance, quality, and security standards are implemented and adhered to
Collaborate with stakeholders to define KPIs and support advanced analytics and reporting needs

Must-Have Skills:

12-14 years
of overall experience in data engineering and solution architecture
At least one full-cycle implementation
experience in
Microsoft Fabric
Deep understanding and hands-on experience with
Azure Data Services
, including:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake
- Azure SQL / Synapse SQL
Experience with
Delta Lake
,
Spark
, and
Lakehouse architecture
is highly desirable
Expertise in modern data integration and transformation techniques
Strong understanding of data modeling, ETL/ELT best practices, and performance tuning

Preferred Qualifications:

Bachelor s degree in Engineering (B.Tech/BE) or equivalent in Computer Science, Information Technology, or a related field
Microsoft Azure certifications (e.g., DP-203, DP-500, or equivalent)
Prior experience leading geographically distributed teams
Familiarity with DevOps, CI/CD practices in data engineering projects

EXPERIENCE

11-12 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): databricks, Azure Data Factory

More Jobs at Infogain

Aws Data Engineer

Pune, Delhi NCR, Bengaluru

4 - 6 yrs

INR 13 - 23 Lacs

SAP Developer (Senior)

Bengaluru

5 - 8 yrs

INR 6 - 11 Lacs

Dot NET Fullstack (React) Developer (Senior)

Bengaluru

6 - 8 yrs

INR 13 - 15 Lacs

Application Support Engineer (Senior)

Bengaluru

6 - 8 yrs

INR 8 - 10 Lacs

Dot NET Core Developer (Senior)

Bengaluru

6 - 8 yrs

INR 13 - 15 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.