
Data Engineering Professional
6 hours ago
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As a Data Engineer, you will be responsible for designing and implementing scalable data pipelines to support increasing data volume and complexity.
Key Responsibilities:
- Develops and maintains data pipelines using Bigdata, Pyspark, Python, Hadoop/HDFS, Spark.
- Collaborates with analytics teams to improve data models feeding business intelligence tools.
- Ensures accurate production data availability by implementing processes and systems to monitor data quality.
- Writes unit/integration tests and documents work.
- Performs data analysis required to troubleshoot data-related issues.
- Works closely with frontend engineers, product managers, and analysts to design and implement data integrations and quality frameworks.
Requirements:
- Good knowledge of GCP or cloud technology is desirable.
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