Purpose & Overall Relevance for the Organization:
The purpose of this role is to explore various internal and external data sources, integrate those data sources and prepare data for the consumption in a lakehouse. This will happen in the context of the creation of an integrated analytical data model connecting the dots between data sources like Kafka, SAP, etc. You will have e2e ownership (with general guidance) from the acquisition of the data through defined interfaces until integrated exposure in the analytical data model.
Are you looking for...?
* Being part of our team that delivers unseen Insights generated from Data;
* Creating the data backbone powering Analytics and AI solutions that put decision making on the next level;
* Working in the latest technologies such as Spark, Delta Lake, Airflow, Python, etc.;
* Use of Databricks to work in a Lakehouse concept.
What are we looking for?
* A developer able to create state of the art data applications using Python and SQL;
* Understanding of Spark internals and performance tuning;
* Experienced in the integration between Kafka and Spark Structured Streaming;
* Knowledge in cloud platforms, data modeling, both batch and streaming workloads, and databases;
* Ideally 5 years of hands-on data engineering experience;
* Experienced in software engineering best practices (design patterns, test-driven development and clean code);
* Experienced in Agile/Scrum methodologies and collaboration with cross-functional teams;
* Knowledge in data platforms such as Databricks (preferential);
* Fluency in English (mandatory).
* Someone who is comfortable talking about technical topics with business people and business topics with technical people. Able to express complex concepts in plain language to reach broader audiences
* Experience in (at least one of) computer vision, linear algebra, computer graphics, signal processing or geometry processingProven experience in handling/transforming/managing of (at least two of) following data (image/video data, time-dependent data, 3D data) for analytics use cases
What are we offering?
* Competitive salary and benefits;
* Hybrid work policy and flexible working hours;
* Sports and work-life balance incentives;
* Upskilling and internal growth (local and international);
* International and diverse work environment;
* State-of-art office space and conditions.