Job Description

:
What's this role about?
Here's how you'll contribute:
You'll do this by:
Core Skills:
Desired Skills:
How we'd like you to lead:
Advantage Zensar
We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.
Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans' status.
Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include:

• Putting people first
• Client-centricity
• Collaboration

Responsibilities:
Key Responsibilities:

• Build and maintain ETL/ELT pipelines using Fabric Pipelines/ Dataflows Gen2.
• Ingest, transform and structure data across Bronze/Silver/Gold layers.
• Create and maintain notebooks (Fabric Notebooks / Databricks) for data preparation, transformation, validation, and automation.
• Work with DWH structures including fact/dimension modelling.
• Optimise transformations, orchestration and performance.
• Support BI teams with curated datasets and semantic models.
• Participate in design, development, testing, UAT, deployment and post-release support.

Qualifications:
Required Skills:

• 3-5 years of Data Engineering experience.
• Strong SQL and Azure data engineering experience.
• Understanding of data warehousing (star schema, SCD, dimensional).
• Hands-on with Azure ADF, ADLS, Synapse or Databricks.
• Python experience, especially for building automated scripts and notebook-based transformations.
• Understanding of governance, DevOps and security practices.

Highly Desirable:

• Microsoft Fabric (Lakehouse, Warehouse, Pipelines).

Nice-to-Have

• Certifications such as DP-600, DP-203, DP-700

Skills Required