Found Description
Responsibilities
- Gather, analyse, and document business and data requirements.
- Enhance data collection and consumption processes through more efficient data integration channels.
- Design, develop, and maintain data pipelines, ETL processes, and reporting solutions to support analytics and business needs.
- Prepare test plans, execute system testing, and support user acceptance testing (UAT).
- Collaborate with technical and business stakeholders to ensure successful deployment and adoption of solutions.
- Monitor, support, and maintain production systems to ensure service reliability and performance.
- Troubleshoot and resolve data, application, and infrastructure-related issues.
- 5-7 years of experience with Python, PySpark, Linux, SQL, data modelling, and ETL tools such as Informatica.
- Experience with Hadoop ecosystem technologies such as Hive, Impala, an...
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