
Cloud-Based Data Engineer Lead
1 day ago
Job Summary:
This senior-level position is available for a highly skilled and experienced data engineer who can lead the development and implementation of scalable data pipelines using cloud-based technologies.
Responsibilities:
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory to ensure reliable and efficient data processing.
- Work with structured and unstructured data to build ingestion and transformation workflows across cloud platforms, ensuring scalability and reliability.
- Collaborate with cross-functional teams, including data scientists, analysts, and application developers to support advanced analytics, reporting, and machine learning workflows.
- Implement job orchestration, monitoring, and error handling for pipeline execution, ensuring high-quality data delivery.
Qualifications:
A Bachelor's degree in Computer Science, Engineering, or related field and 6+ years of experience in data engineering or cloud computing data development are required. Required skills include AWS Glue, ADF, Cloud Computing, Data Engineering, Python, Java, and Scalability.
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