Senior Data Engineer
2 weeks ago
Role Summary
Crescendo Global is seeking a Senior Data Engineer to lead the development of scalable data pipelines using Python, Pyspark, and AWS services. The ideal candidate will have a strong understanding of data modeling and ETL processes, as well as experience with big data technologies like Hadoop, Spark, or Kafka.
Key Responsibilities
- Design and develop scalable data pipelines using Python, Pyspark, and AWS services
- Collaborate with cross-functional teams to ensure data quality and availability
- Optimize and maintain existing data infrastructure and analytical systems
- Provide technical expertise and recommendations for data-related projects
- Contribute to the continuous improvement of data engineering best practices and standards
Requirements
- 4+ years of experience as a Data Engineer
- Proficiency in Python, Pyspark, and AWS services
- Strong understanding of data modeling and ETL processes
- Experience with big data technologies like Hadoop, Spark, or Kafka
- Excellent communication skills and ability to collaborate with cross-functional teams
What We Offer
- Competitive compensation package
- Opportunity to work with cutting-edge technologies and innovative projects
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