
High Performance Data Engineer
1 day ago
About Data Engineering Roles
Data Engineers design, build, and maintain large-scale data systems. They are responsible for ensuring that data is accurate, complete, and delivered on time to meet business needs.
Key Responsibilities:
- Developing and implementing data pipelines using Big Data technologies like Spark, PySpark, and Hive
- Implementing performance tuning techniques for Spark jobs to ensure optimal performance
- Collaborating with cross-functional teams to understand data requirements and deliver scalable data solutions
- Performing data validation, transformation, and aggregation to prepare datasets for analytics
- Participating in code reviews to maintain high-quality coding standards
- Monitoring and troubleshooting data workflows in production environments
Requirements:
- Strong experience with Big Data technologies like Spark, PySpark, and Hive
- Expertise in Spark job optimization and performance tuning
- Proficient in Python and Java for building scalable data applications
- Solid understanding of distributed computing and data processing frameworks
- At least 4 years of relevant experience required
Preferred Skills:
- Experience with Google Cloud Platform (GCP) and its data services like BigQuery, Dataflow, and Dataproc
- Familiarity with CI/CD pipelines and version control tools like Git
- Experience working in Agile/Scrum environments
Education:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
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