About
We are seeking a hands-on Azure Data Engineer to design, build, and optimize modern data platforms supporting analytics and AI initiatives. This role partners closely with technology and business teams to deliver scalable, high-performance data solutions.
Responsibilities
Design and develop data pipelines using
Azure Data Services
and
Databricks .
Build and optimize ETL/ELT workflows using
PySpark, Python, SQL, and Azure Data Factory/Fabric .
Integrate and manage data across platforms such as
Snowflake, Delta Lake, and Azure Storage .
Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
Collaborate with stakeholders to translate business needs into technical solutions.
Required Skills
Hands-on expertise with
Databricks, PySpark, Python SQL .
Experience with
Azure Fabric ,
Snowflake , and modern data architectures.
Solid understanding of cloud data pipelines, performance tuning, and data governance.
Strong communication and stakeholder collaboration skills.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.