Job description:
Here is the updated text:
founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment
we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
For our Client from banking industry we are looking for **Senior Data Engineer**
**This is a hybrid model role which requires being onsite in Trójmiasto (Gdańsk or Gdynia) twice per year for PI Planning activities**
* Working with Spark & Python to define and maintain data ingestions and transformation
* Building distributed and highly parallelized big data processing pipeline which process massive amount of data (both structured and unstructured data) in near real-time
* Leverage Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics
* Working closely with analysts and business stakeholders to develop analytics models
* Collaboration with Data Scientist and Machine Learning experts
* Providing detailed information about progress during PI Demo sessions
* Experience in Spark & Python
- minimum 4 years
* Strong Spark SQL or Hive SQL
- minimum 4 years
* Experience with Hadoop/Hive ecosystem and/or other BIG Data technologies
- minimum 3 years
* Previous experience in creating data flows (ETL's, ELT's, ect.)
* Experience with BitBucket and GIT, code versioning and branching strategy
* Familiar with Agile/Safe framework
* Cloud Experience is a big plus (AWS, GCP, AZURE)
* Basic knowledge about machine learning models ( how to build, validate and maintenance regression models )
* Scala /MLOPS experience
* B2B agreement
* Transparent working conditions with both Ework and the client
* Current support during our cooperation
* Possibility to work in an international environment
* Collaborative environment in Swedish organizational culture
* Private medical care
* Life insurance
* Multisport
* Teambuilding events