
Senior Data Engineering Leader
6 days ago
Are you looking for a challenging role as a data engineering leader?
We are seeking an experienced professional to lead our data engineering team.
- This is a senior position that requires a minimum of 7 years of experience in data engineering and leadership roles.
- The ideal candidate will have a strong background in AWS services, Python, Pyspark, and data modeling.
- Experience with columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data is also required.
- The candidate should be familiar with ETL, data mining, Data Warehousing, and segmentation techniques.
- Familiarity with databases (Azure SQL, MSQL), data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Databricks/HDInsight) and BI and Reporting tools (e.g., Power BI, Tableau) or similar technologies is a plus.
- The successful candidate will have experience working with advanced data management, data processing, and data science-related exploration of data to create insights that drive business decision making.
- Additionally, the candidate should have knowledge of modern infrastructure automation technology stacks and the ability to identify the best tool for the task.
- Familiarity with Agile principles, methodologies, and frameworks, especially those designed to be scaled at the enterprise level, is also required.
- The ideal candidate will be able to coach others, communicate effectively with technical and non-technical audiences, and demonstrate a proven ability to work creatively and analytically in a problem-solving environment.
This is a great opportunity for someone who is passionate about data engineering and leadership.
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