to design and build scalable data pipelines on Azure. The role involves ingesting raw data, transforming it through curated layers, and delivering high-quality
Gold-layer datasets
for analytics and reporting using
Azure Databricks
.
Requirements
Key Responsibilities
Design, build, and maintain end-to-end data pipelines on
Azure
Ingest raw data from multiple sources and transform it into
Bronze, Silver, and Gold layers
Develop scalable data processing solutions using
Azure Databricks
Build optimized data models to support analytics and business reporting
Ensure data quality, reliability, and performance across pipelines
Implement CI/CD and version control best practices for data engineering
Collaborate with analytics, platform, and business teams
Must-Have Skills
Strong hands-on experience with
Azure Data Engineering
Experience working with
Azure Databricks
Proficiency in
Python
and
PySpark
Strong SQL and analytical skills
Experience building and maintaining data pipelines
Hands-on with
Git/GitHub
for version control
Exposure to
CI/CD tools
(Azure DevOps, Jenkins, or similar)
Good-to-Have Skills
Experience with
dbt
Knowledge of
Terraform
or Infrastructure-as-Code
Experience with Azure services like
ADLS, Azure Data Factory
Understanding of data modeling and analytics engineering concepts
Nice to Have
Experience in Agile/Scrum environments
Strong communication and stakeholder management skills
Benefits
What We Offer
Opportunity to work on modern cloud data platforms
Challenging, high-impact data projects
* Collaborative and engineering-driven culture
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