DATA ENGINEER

At eBay were more than a global ecommerce leader were changing the way the world shops and sells.
Our platform empowers millions of buyers and sellers in more than 190 markets around the world.
Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day.
Were in this together sustaining the future of our customers our company and our planet.
Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
About the team and the role.
You will work in Certilogos Delivery & Technology division with a team of highly skilled product managers software developers AI specialists UX designers and data engineers with a shared passion for building great web applications following Agile methodology processes and tools.
In close collaboration with the Data & Analytics Senior Manager and the Tech Lead you will focus on the evolutionary development and maintenance of our Certilogo services.
In addition closely in contact with the Innovation lead and the Data & Analytics Senior Manager you will operate within the Innovation team in order to implement the data part of the different Pilots and Proof of Concepts that will help validate concepts engage partners provide insights into market acceptance ultimately increasing the likelihood of developing and launching of a successful fullfledged feature.
What you will accomplish.
You will design and develop robust scalable and efficient data pipelines to manage our Azurebased datalake You will apply your expertise in writing reusable testable and efficient data scripts working with data scientists and business analysts to architect and implement new data models and data integration to support business intelligence tools such as Tableau and Domo You will use your analytical skills to perform deep dives into datasets to identify trends and insights using Google Cloud tools to enhance data tracking and measure user engagement within our digital applications.
You will ensure data quality maintainability and scalability through rigorous data validation testing and refactoring.
You will conduct thorough requirements analysis and solution design focusing on data modeling and database schema design within our Azure environment and you will write the vital documentation supporting these activities.
You will fix and resolve issues related to data pipelines and data quality to maintain high availability and reliability of data services.
What you will bring.
Minimum 3 years of experience in a data engineering role with handson experience in maintaining large scale databases data warehouses or data lakes.
Proficiency with BI tools such as Tableau and Domo with a proven track record of developing actionable business insights from sophisticated datasets.
Strong experience with Google Tag Manager Google Analytics and BigQuery particularly in supervising and analyzing user engagement across digital platforms.
Expertise in relational SQL and NoSQL databases with specific experience in managing and optimizing data within Azure environments.
Experience with data pipeline and workflow management tools such as Apache Airflow AWS Data Pipeline Google Cloud Dataflow with a preference for those experienced in an Azure context like Azure Data Factory or Azure Synapse.
Proficient in scripting languages used in data engineering such as Python Java C or Scala with a preference for Python due to its extensive use in data analytics.
Solid understanding of data warehousing solutions particularly within Azure and experience building ETL pipelines tailored to business needs.
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eBay is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected status.
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