
Data Engineer for High Performance Systems
1 day ago
We are seeking a highly skilled Big Data Engineer to join our team and contribute to the design, development, and implementation of large-scale data processing systems. As a key member of our engineering team, you will play a critical role in architecting and implementing data pipelines, ensuring data quality and integrity.
Main Responsibilities:
- Design and develop high-performance data processing systems using big data technologies such as PySpark, Hive, Spark, and HBase.
- Collaborate with data scientists and analysts to integrate data into business intelligence platforms.
- Implement data governance policies and procedures to ensure data quality and compliance.
- Develop and maintain data pipelines to support real-time analytics and reporting.
Requirements:
- 6-12 years of experience in big data engineering.
- Strong proficiency in PySpark, Hive, Spark, and HBase.
- Good understanding of Agile Scrum methodology and data ingestion concepts.
- Experience working with disparate data sources and big data platforms.
Benefits:
- Opportunity to work on large-scale data projects with global clients.
- Collaborative and dynamic work environment.
- Ongoing training and skill development opportunities.
We are an equal opportunity employer committed to diversity and inclusion.
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