Key Accountabilities :
Responsibly for the data processing and provisioning / ETL process, using state of the art architecture and technologies for data pipeline workflows (e.
g. RDBMS, NoSQL, Hadoop, Kafka, etc.)
Enabling access to resident and external data sources
Helping data scientists to prepare data
Assisting with initial data exploration steps (binning, pivoting, summarizing and finding correlations, etc.) and cataloging existing data sources
Support the development and automation of MVPs and data analytics solutions within the scope of use cases defined in cooperation with various brands, markets and departments
Helping to streamline a better data supply chain for analytics that goes from experimentation into production
Automatic deployment of data science environments on multi-cloud platforms
Independent advancement of CI / CD initiatives on multi-cloud platforms
Realization of innovative data processing solutions in the area of Artificial Intelligence
Independent scouting of emerging technologies in the areas of data science, data processing, cloud, micro services, automation and machine learning
Qualifications & Experience :
Bachelors / B Tech / BE with a relevant specialization and a minimum of 3 years of professional experience as Data Engineer and / or Software Developer
Advanced working knowledge of SQL and experience working with relational databases
Extensive experience with data processing and ETL to design complete data pipelines workflows for different projects and use cases
Knowledge of technologies from at least 3 of the following areas : NoSQL (e.g. Elasticsearch, MongoDB, Cassandra), Message Queues (e.
g. Kafka, RabbitMQ) and Big Data (e.g. Hadoop MapReduce, Spark, HBase)
Knowledge and experience with modern software development solutions based on micro services and application containerization (e.g. Docker)
Experience with CI / CD tools (e. g. Jenkins, GitLab CI, Travis CI, Atlassian Stack, GIT,...) especially in the area of ETL automation
Good Linux knowledge and scripting (at least Python, Bash)
Experience with at least one of the major cloud providers AWS, Azure or Google Cloud and with automated deployments in the cloud
Experience with Openstack and Kubernetes is a plus
Knowledge of technologies in the fields of data analytics, visual analytics, machine learning, search and text mining is a plus
Result-oriented, rigorous and independent way of working
Fluent in English, fluent in German is a plus
Strong critical thinking, analytical mindset and problem solving skills
We offer excellent development prospects, along with a competitive salary and exceptional benefits.
Pioneer the next generation of innovation. Join us and you’ll develop your skills and expertise to the very highest levels, working in an international environment for a company known the world over for its brilliance.
We are an equal opportunities employer