Stockholms län
IT & Telecom
This gig is no longer available.

Data Engineer / Data Pipeline Developer.

Experienced data pipeline builder and data wrangler who enjoys optimizing data flows. The assignement is primarily for the finance domain within Scania.
Agile teams setup, including competencies from several domains, the team will handle development, maintenance and support activities.
Skills required,
Technical background in one or more languages such as Python, R, SQL, Spark, Scala
Experience of Hadoop: Hive, HBase, HDFS, Kafka, etc
Advanced working SQL knowledge and experience working with relational databases

Experience building, optimizing, maintaining and deploying `big data' data pipelines and data sets
Good understanding of multiple architectural design patterns, understanding multidimensional models and data warehousing theories
Experience and practice from using agile working methods, CI/CD and DevOps

Scania tillämpar 60 dagars betalningsvillkor

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Pris förhandlingsbart
03 February 2020
Södertälje, Stockholms län, Sweden
ASAP - 30/06/2020
IT & Telecom


SQL Agile Big Data Databases Hadoop HBase Languages Optimizing Python Relational Databases Devops Scala Finance Förhandling