You will develop solution designs, implement and optimize data or ETL pipelines.
You empower your colleagues and learn through exchange, training and project experience.
You develop modern and highly automated data platforms with us for large customers in different industries and thus make an active contribution to digitalization.
You integrate data from a wide range of data sources into a central data warehouse or data lake based on modern technologies or make it available via scalable and robust services and APIs.
Together with software developers and data analysts, you generate valuable insights from large amounts of data.
You responsibly manage the lifecycle of Big Data ecosystems (platform, integration, migration).
Who you are
You are at the forefront of Big and Fast Data technologies (Hadoop, Spark, StreamSets, Kafka, Data Lake, Data Warehouses, Hive, Impala).
You have knowledge of one or more relevant programming languages such as Scala, Python, C#, R.
You have a sound knowledge of software development
You have experience in data structures and database technologies (e.g. Oracle, MS SQL, Postgre SQL, Snowflake, Redshift), a good understanding of relational data modelling (e.g. RDBMS, SQL) and an interest in NoSQL (e.g. Mongo DB, Cosmo DB, Cassandra).
You are confident in using various cloud technologies (e.g. Databricks, Azure, AWS).
You are curious to always get to know a new technology and like to learn in exchange with your colleagues.
Personal and professional career development plan, education budget, paid certifications, language courses
Innovative projects with prestigious international customers
Competitive working conditions and full time employment
Flexible working schedule and possibility to work from home
Mentorship and onboarding program
Private health insurance, fit pass
Monthly team events to support team oriented culture
Referral program and jubilee awards
Minimum 22 days of vacation + extra days off
Refreshments, Fruits, Sweets, Snacks and lunch on Tuesdays
Cozy lounge room and terrace to relax and hang out
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