
Big Data Innovator
1 day ago
Professionals seeking to drive innovation and growth in data engineering will find this role appealing.
A challenging opportunity has arisen for an experienced big data engineer to design, develop and deploy scalable data processing systems using PySpark and Hive.
Key Responsibilities:
- Collaborate with cross-functional teams to integrate data from various sources onto the big data platform.
- Implement data quality checks and ensure data accuracy using DQ tools.
- Design, develop and deploy scalable data processing systems.
- Participate in Agile Scrum methodologies to drive project delivery.
Requirements:
- 6-12 years of experience in big data engineering.
- Strong expertise in PySpark, Hive, Spark, HBase, and DQ tools.
- Excellent understanding of data ingestion and data processing pipelines.
- Agile Scrum experience and exposure to cloud-based technologies are desirable.
What We Offer:
- An opportunity to work on a challenging project that drives innovation and growth in the data space.
- Develop your skills and stay up-to-date with industry trends through ongoing training and development programs.
- Work with a talented team of professionals who share your passion for technology.
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