Spark Architect
1 month ago
We are seeking a highly skilled Spark Architect to join our team at PRACYVA. As a Spark Architect, you will be responsible for designing and implementing scalable and efficient data integration solutions using PySpark and Spark SQL.
The ideal candidate will have a deep understanding of Spark Data Integration, including PySpark, scripting, and variable setting. You will also be responsible for reviewing PySpark and Spark SQL jobs and making performance improvement recommendations.
As a Spark Architect, you will work closely with our team to drive data integration upgrades to PySpark and ensure the smooth operation of our data infrastructure. You will also be responsible for monitoring Spark jobs using tools such as Grafana to identify and resolve any cluster-level failures.
We are looking for a highly motivated and enthusiastic individual who is passionate about working with big data and Spark. If you have a strong background in data integration and a desire to work on cutting-edge technology, we encourage you to apply for this exciting opportunity.
Key Responsibilities:
- Design and implement scalable and efficient data integration solutions using PySpark and Spark SQL
- Review PySpark and Spark SQL jobs and make performance improvement recommendations
- Drive data integration upgrades to PySpark
- Monitor Spark jobs using tools such as Grafana
- Identify and resolve any cluster-level failures
Requirements:
- At least 12+ years of IT experience
- Deep understanding of Spark Data Integration, including PySpark, scripting, and variable setting
- Strong background in data integration
- Experience with Spark SQL and PySpark
- Ability to work in a fast-paced environment
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Spark Architect
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Spark Architect
1 month ago
Leeds, Leeds, United Kingdom PRACYVA Full timeExciting Opportunity for a Spark ArchitectWe are seeking a highly skilled Spark Architect to join our team at PRACYVA. As a Spark Architect, you will play a key role in designing and implementing scalable data integration solutions using PySpark and Spark SQL.Key Responsibilities:Refactor Legacy ETL code using Prophecy low-code no-code and available...
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Spark Architect
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