Opportunity Description
What You’ll Do
- Design and build Spark data ETL pipelines on AWS data platform.
- Collaborate with cross functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions.
- Optimize data infrastructure – Design and maintain robust data infrastructure by using modern data platform architecture.
- Ensure data quality and reliability.
- Innovate and follow best practices.
- Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.
- Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines.
- Proficiency in at least one high‑level programming language (Scala, Java...
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