Big Data Engineer (m/w/d)

  • P3 group GmbH
  • Stuttgart, Germany
  • 06/08/2022
Full time Data Engineering Big Data Artificial Intelligence Software Engineering

Job Description

Job Description

Benefits and Allowances
Further training programs, company pension scheme

Full job description

Ref no

3640

industry

IT & Media

Locations

Munich, Germany, Stuttgart

What you'll do

You develop solution designs, implement and optimize data or ETL pipelines.
  • You empower your colleagues and learn through exchange, training and project experience.
  • You will develop modern and highly automated data platforms with us for large customers in different industries and thus make an active contribution to digitization.
  • You integrate data from a wide variety of data sources into a central data warehouse or into a data lake based on modern technologies or make them 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 life cycle of big data ecosystems (platform, integration, migration)

Who are you?

  • With your know-how in Big and Fast Data technologies (Hadoop, Spark, StreamSets, Kafka, Data Lake, Data Warehouses, Hive, Impala) you are at the forefront.
  • You have knowledge of one or more relevant programming languages ​​such as Scala, Python, C#, R.
  • You have in-depth knowledge of software development
  • You have experience in data structures and database technologies (e.g. Oracle, MS SQL, Postgre SQL, Snowflake, Redshift), have a good understanding of relational data modeling (e.g. RDBMS, SQL) and are interested in NoSQL (e.g. Mongo DB, Cosmo DB , Cassandra).
  • You are confident in dealing with various cloud technologies (e.g. Databricks, Azure, AWS).
  • You are curious to get to know a new technology again and again and you like to learn in exchange with your colleagues

Good to know

  • remote working
  • Flexible working hours
  • meals
  • smart working
  • parking spaces
  • Events
  • employee discounts
  • network
  • Competitive working conditions
  • Personal and professional development
  • Great teams and helpful colleagues
  • Company pension plan / company doctor
  • Innovative projects for international customers