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Senior Data Engineer M/F/X

Description

• You will be responsible for building a data platform for running big data workloads at scale, collecting and combining data from various sources and help data consumers to consume data in our data lake.
• You manage the Customer Journey: Full data integration of webtracking-data with master data to understand customer and user behavior
• You are responsible for establishing a Data Catalogue: registering and documenting ingested, stored and processed data
• You improve the Tool-Layer on top of existing Messaging and Ingesting Service (e.g. generic data on/offloading in/from Kafka; Kafka topic admin-tools) • 5+ years of experience as Data Engineer or Backend Developer
• Solid expertise in at least one programming language (preferably Scala or Java)
• Excellent SQL and data management knowledge
• Experience with big data technologies (Spark, Redshift, Hadoop)
• Practical experience with Amazon Web Services

Nice to have:
• Previous experience in the design and implementation of complex data pipelines (Luigi, Airflow, AWS Data Pipeline)
• Knowledge of Python data science stack (Pandas, Scikit-learn, Numpy, Keras, etc)
• Familiarity with machine learning
• Experience with Docker

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Benefits

After work drinks
After work drinks
Anniversary gift
Anniversary gift
Employee referral bonus
Employee referral bonus
Free bus rides
Free bus rides
Health insurance
Health insurance
Maternity/paternity leave
Maternity/paternity leave
Mobile language course
Mobile language course
Paid sick days
Paid sick days
Performance bonus
Performance bonus
Regular team events
Regular team events
Relocation support
Relocation support
Table football
Table football
Technology stack
nginx nginx
PHP PHP
Amazon EC2 Amazon EC2
Google Analytics Google Analytics
Mailgun Mailgun
Optimizely Optimizely
MaxCDN MaxCDN
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