
Data Engineer
2 days ago
We are seeking a highly skilled Big Data Engineer to develop, maintain and optimize data pipelines using Big Data technologies. The ideal candidate will have a strong background in PySpark, Hive and Spark optimization.
Main Responsibilities:
- Develop, maintain and optimize data pipelines using Big Data technologies (PySpark, Hive, Spark)
- Implement performance tuning techniques for Spark jobs to ensure optimal performance
- Work closely with data scientists, analysts and other stakeholders to understand data requirements and deliver scalable data solutions
- Perform data validation, transformation and aggregation to prepare datasets for analytics
- Participate in design reviews and code reviews to maintain high-quality coding standards
- Monitor and troubleshoot data workflows in production environments
- Maintain documentation related to data engineering processes, architecture and data flow
Requirements:
- Strong experience with Big Data technologies – Spark, PySpark, 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
- Experience with Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Dataproc)
- Experience working in Agile/Scrum environments
- Bachelor's or Master's degree in Computer Science, Information Technology or a related field
About Us:
We are a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals.
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