
Chief Data Architect
4 days ago
Key skills and qualifications:
- Big Data
- Pyspark
- Python
- Hadoop/HDFS
Bullet points of key tasks, responsibilities, and challenges:
- Develop scalable data pipelines to support increasing data volume and complexity.
- Collaborate with analytics teams to improve data models, increase data accessibility and foster data-driven decision making.
- Implement processes to monitor data quality, ensuring accurate and available data for stakeholders.
- Write unit/integration tests, contribute to engineering wiki, and document work.
- Perform data analysis to troubleshoot issues and assist in resolution.
- Work closely with a team of engineers, product managers, and analysts.
- Define company data assets, Spark, SparkSQL, and HiveSQL jobs to populate data models.
- Design data integrations and quality framework.
Required professional experience:
At least 3 years of experience in developing and implementing large-scale data systems.
Additional benefits:
The ability to work autonomously and collaboratively as part of a global team.
Professional growth opportunities.
Our flexible working hours allow you to balance work and personal life.
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