Senior Data Engineer
vor 2 Monaten
At Zitcha, we're at the forefront of revolutionizing the retail media landscape, and we invite you to be part of our visionary team making Retail Media better for everyone.
As the world's first Adaptive, Unified Retail Media Platform, Zitcha empowers retailers to unlock their full potential by seamlessly integrating planning, delivery, and insights across all channels - online, offline, and in-store.
Our intelligent, efficient, and high-performance platform provides a complete and scalable solution that adapts to each retailer's unique vision and business model.
We understand that no two retailers are the same, and your network shouldn't be either.
Zitcha's composable architecture ensures you have the right capabilities at the right time, whether you're launching a new retail media network or scaling an existing one.
Our platform simplifies and automates previously manual processes, allowing you to leverage your first-party customer data for personalized and impactful advertising experiences.
With Zitcha, you're not just keeping up with retail media - you're defining it.
Join us in creating a better way to build and grow Retail Media Networks, transforming them into valuable extensions of your existing retail business.
Now, Zitcha is seeking a Senior Data Engineer to join our innovative team in Australia.
Join us in shaping the future of retail media as we revolutionise the industry and empower retailers and brands to achieve unparalleled success.
Key ResponsibilitiesWork alongside Software Engineers to architect and implement high-performing data pipelines.Develop, construct, test, and maintain databases and large-scale data processing systems.Apply data mining techniques and analyse large datasets to identify trends and optimize results.Collaborate with the Data Team to design and develop algorithmic solutions to complex business problems.Proactively improve the performance, efficiency, and scalability of our data processing systems and methods.Ensure data solutions are compliant with privacy and security standards.Minimum RequirementsDefinitely get in touch if you have experience with:
Proficiency in Python and SQL and experience working with relational and non-relational databases.Work alongside Software Engineers to architect and implement high-performing data assets.Develop, construct, test, and maintain databases and large-scale data processing systems.Collaborate with the Data Team to design and develop algorithmic solutions to complex business problems.Proactively improve the performance, efficiency, and scalability of our data processing systems and methods.Ensure data solutions are compliant with privacy and security standards.Also, a big bonus for us is any experience with: Experience with cloud platforms like AWS, GCP, or Azure.Knowledge of Big Data tools and frameworks such as Spark.Experience with Data Warehouse solutions, ETL tools, and procedures.Knowledge in the field of Retail Technology is a plus.Experience with digital marketing campaign platforms such as Google Ads, Facebook Business Manager and ad-serving technology.Experience with Customer Data Platforms.If this sounds like you, don't hesitate to reach out
Role Type #J-18808-Ljbffr
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