
Lead Data Engineer
5 days ago
Our organization is seeking an experienced Data Engineer to lead the development of scalable data pipelines using Oracle Data Flow and Apache Spark (PySpark).
- We are looking for a highly skilled professional with 3-12 years of experience in building and managing large-scale data systems, including Data Lakes, Data Warehouses, and Data Pipelines.
- The ideal candidate will have strong expertise in designing and developing efficient data processing scripts using Python, PySpark, and SQL, as well as proficiency in orchestrating data workflows across various data services.
- Bulk Data Ingestion: Develop and implement scalable data ingestion solutions using Oracle Data Flow or Apache Spark (PySpark) for bulk data ingestion into Data Lakes, Data Warehouses, and Data Pipelines.
- Data Processing: Design and develop efficient data processing scripts using Python, PySpark, and SQL to extract insights from large datasets.
- Orchestration: Use cloud-based workflow orchestration tools to manage and automate data workflows across various data services.
Key Responsibilities include:
- Developing and implementing data engineering solutions using Oracle Data Flow and Apache Spark (PySpark)
- Designing and developing efficient data processing scripts using Python, PySpark, and SQL
- Proficiently orchestrating data workflows across various data services
- Maintaining high-quality code and adhering to industry standards and best practices
The successful candidate will be able to collaborate effectively across teams and engage with stakeholders to deliver high-quality results on time. Relevant qualifications include:
- 3-12 years of experience in building and managing large-scale data systems
- Strong expertise in designing and developing efficient data processing scripts using Python, PySpark, and SQL
- Proficiency in orchestrating data workflows across various data services
We are committed to providing a work environment that promotes innovation, collaboration, and growth opportunities for all employees. If you're passionate about working with data and want to be part of a dynamic team, please apply today
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