You
• are a quick learner with excellent analytic skills
• are eager to deliver high-quality solutions
• are an open-minded & communicative team player
• are fascinated by the automotive sector
• speak and write English fluently
Data Architect / Big Data Engineer (m/f/d)
30.12.2020
COMPREDICT -
Darmstadt
Betriebssysteme und Rechnerarchitektur, Informationssysteme und Datenbanken
Aufgaben
Your task will be to build, manage and optimize data systems. Furthermore, you will work closely with developers and data scientists to build a robust data storage schema, build ETL jobs to direct the flow of data within the pipeline and ensure consistency of data delivery across multiple projects.
Your responsibilities
• Build and manage data lakes including ingestion, transformation & cataloguing
• Work closely with other developers to build ETL jobs suited for the given application
• Be always eager to improve the data hierarchy across all the organization’s data systems
Qualifikation
• Graduation in Computer Science or similar
• Experience working with & extracting value from large, unstructured & disconnected datasets
• Knowledge working with relational databases & NoSQL
• Knowledge building & optimizing big data architecture & pipelines
• Experience with root cause analysis on internal and external data & processes to answer specific business questions & identify opportunities for improvement
• DevOps skills
• Big data ecosystems (Hadoop/Spark/Presto/Hive)
• Databases (Oracle/MySQL/PostgreSQL/MS SQL Server)
• Data Warehouses (Redshift/Teradata/Vertica)
• Object-oriented/scripting languages (Python/Java)
• AWS/Azure,Spark, Spark Streaming
• Machine Learning Concept
Benefits
interesting projects
international team
fruits and drinks for free
flexible working hours
nice working atmosphere
friendly colleagues
Weitere Angaben
Sprachkenntnisse:
Englisch
Beginn: ab sofort
Dauer:
Vergütung:
Anzahl der Plätze: 1
Angaben zum Unternehmen
Unternehmensbeschreibung
COMPREDICT offers purely software-based solutions for OEMs and suppliers. With our data
driven approach we can exactly predict failures of mechanical and electronic components and,
in consequence, calculate the remaining lifetime of the major components of any vehicle. Our methods enable lightweight design, cost savings and speed up development processes. Furthermore, we focus on predictive maintenance and value rating of vehicles.
Unternehmensgröße
1-20 Mitarbeiter
Branchen
Erbringung von sonstigen Dienstleistungen a. n. g.