Data Engineering Consultant

About The Team
The Centric Pricing and Inventory Business Unit is a fast-growing, fast-paced team, with many exciting opportunities for the entrepreneurial-spirited individual who wants to be a part of the most innovative AI-based in-season pricing & inventory solutions in the industry. This team requires a real sense of initiative and autonomy to deal with everyday situations. Centric is aggressively penetrating the fashion/apparel, beauty, and home markets with solutions in Market Intelligence & Trends, and Price & Inventory optimization automation. The ability to deal with customers and handle customer situations will be key. 
Responsibilities

• Continuous assuring of a high data quality by checking and validating it together with customer success team and data science/ technical consultant
• Responsible for transforming (normalizing and standardizing) and storing incoming and outgoing data.
• Interfering with data transmission technologies such as Apache Kafka.
• work closely with product & tech team on improving data model and data interface structure
• Use of Python, Spark and SQL to implement complex ETL/ELT processes.
• Interfacing with customers and external partners to align on data formats and transmission schedules.
• Ensure all customer specific time & effort is being tracked accurately
• Ensure stable data flow incoming and outgoing

What You Bring

• You have a university or college degree in (business) computer science, data science/engineering, mathematics or a comparable qualification.
• Hands-on experience with the Big Data ecosystem (Spark, Hive/Impala, HBase, Yarn) and the data lake paradigm.
• Experience with stacks based on AWS/Azure/GCP and Java/Scala/Python.
• Experience with microservice architectures and data streaming systems such as Kafka.
• Hands-on experience in database engineering with a focus on database architecture, production automation, monitoring systems, and operations.
• You can think of data as a graph and know how to use Avro, Protobuf or JSON schema.
• Hands-on experience in working practices of cross-functional teams.
• Fluency in German and English.
• Experience in retail application development is a plus.