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Software Data Engineer - Java/ScalaAbout the team and the role:
We are looking for a Data Engineer (location Dublin, Ireland) to join the Cloud Data Technology team based in Dublin.
We are part of the Data and Metrics team at eBay, tasked with managing data within the Data Warehouse (DWH) for the Customer Support applications. Our team utilizes various tools(third party, open source) in creating and integrating data from these systems. We manage over 800 tables in the DWH. Our approach is distinctive, as we continuously seek to improve our platform, thereby enhancing our ability to drive business opportunities. We embrace rapid experimentation, learning from our failures, and swiftly iterating based on these learnings.
What you will accomplish:
Architectural Leadership: Design and enhance our data architecture to support real-time and batch processing with a focus on scalability and fault tolerance using Kafka, Flink, and lakehouse principles.
Data Managemnet: Classify data according to its sensitivity and importance. Establishing clear classification guidelines helps in managing data access and ensuring compliance with regulatory requirements.
Pipeline Automation: Develop and maintain automated data pipelines that ensure efficient data flow and processing from multiple sources to our lakehouse architecture.
Cross-functional Collaboration: Work closely with data scientists, business analysts, and other engineering teams to define and refine requirements that drive data solutions.
Innovation and Research: Stay abreast of the latest industry developments in data engineering and propose adoption of new technologies or methodologies to keep our data infrastructure ahead of the curve.
What you will bring:
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Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies.
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Proficiency in Hadoop ecosystem such as Hive, Iceberg, Spark, sql.
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Good Understanding of Apache Airflow, tool for orchestrating complex computational workflows and data processing pipelines.
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Proven ability to design and implement automated data pipelines and materialized views.
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Proficiency in Java, Scala, Python, or similar languages.
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Good understanding of SQL oracle, SQL server or similar languages.
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Extensive experience directly applicable to the role
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