Senior Lead Data Engineer - Databricks
LeadOn-site (Maadi)Salary undisclosed
Required Skills
PythonAzureKubernetesDockerKafkaSQLCI/CDSnowflakeDatabricksApache Spark
Job Description
Description
We're on the lookout for exceptional individuals to join our team as Senior Lead Data Engineers – Databricks. As part of our team, you'll play a key role in designing and delivering modern, scalable data platforms for clients across multiple industries, leveraging Azure and Databricks technologies.
You will lead the design, development, and optimization of end-to-end data engineering solutions built on modern Lakehouse architectures. Working closely with clients and cross-functional teams, you'll translate business requirements into scalable, high-performance data platforms while mentoring engineers and driving technical excellence.
Requirements
- Responsibilities
- Lead the design, development, and maintenance of scalable data engineering solutions using Azure and Databricks.
- Design and implement modern Lakehouse architectures following industry best practices.
- Build and optimize large-scale batch and streaming data pipelines.
- Develop ETL/ELT pipelines using Databricks, PySpark, SQL, and Azure Data Factory.
- Design, implement, and optimize Delta Lake solutions for reliable and performant data processing.
- Collaborate with clients to gather requirements and translate business needs into technical solutions.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Design and maintain enterprise-gr
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