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7 days ago
We are seeking an experienced Data Engineer to lead our team in delivering high-quality data solutions.
The ideal candidate is a hands-on problem solver with deep expertise in Azure and Databricks.
This senior technical role requires the ability to design, develop, and optimize data pipelines using Azure and Databricks.
Key Responsibilities:- Design and implement scalable data architectures using Databricks and Azure services.
- Develop and maintain efficient ETL/ELT workflows with Delta Lake, ADF, and other Azure services.
- Optimize Spark, SQL, and Python code for performance and scalability.
- Mentor team members to improve overall team productivity and technical capability.
- 8+ years of experience in Data Engineering with at least 5 years hands-on experience in Azure & Databricks.
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, MLflow basics)
- Azure Data Services (ADF, Azure Synapse, Azure Data Lake, Azure SQL)
- Python, SQL, Spark
- Strong knowledge of modern data architectures (Lakehouse, governance)
This role offers the opportunity to work on cutting-edge technologies and collaborate with a talented team of professionals.
Soft Skills & Attributes:- Efficiency-driven mindset – focused on speeding up both personal and team delivery.
- Strong communicator within the team, able to share knowledge and mentor effectively.
- Highly motivated, proactive, and results-oriented.
- Experience with AI-driven development tools to accelerate coding and improve productivity.
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