
Senior Data Engineering Leader
6 days ago
We are seeking a highly skilled Senior Data Engineer to lead and manage our data engineering teams.
About the RoleThe ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
Responsibilities- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Leverage Apache Spark or Databricks for big data processing and analytics.
- Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
- Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
- Implement and maintain data security and compliance measures in line with organizational policies and regulations.
- Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5 to 8 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Strong understanding of data modeling, ETL processes, and data warehousing principles.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
We offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.
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