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Scala Engineer for Shared Data Layer

FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience with Scala and Spark, Familiarity with Hadoop stack, Experience with Jenkins, JIRA, Bitbucket, Git, Ability to work in a Continuous Delivery environment, English: upper-intermediate.

Key responsabilities:

  • Build distributed BigData processing pipelines
  • Enable advanced analytics for Financial Crime Prevention Unit
  • Work closely with DevOps, QA, and Product Management teams
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11 - 50 Employees
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Job description

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Your missions

Project/client: bank

Project duration: 8 months

Start date: ASAP

Location: Preferably Baltics & Poland, remote from EU

Limitations: EU citizens or residents with work permission in the EU

Role: We are seeking a Scala Engineer to build distributed BigData processing pipelines and enable advanced analytics for a banking client’s Financial Crime Prevention Unit. The role involves leveraging Spark to process large data sets, working closely with DevOps, QA, and Product Management teams.

Must-Have Requirements:

  • Experience with Scala and Spark
  • Familiarity with Hadoop stack (YARN, EMR, Sqoop, Hive, Impala)
  • Experience with Jenkins, JIRA, Bitbucket, Git
  • Ability to work in a Continuous Delivery environment
  • Strong communication skills and experience with distributed teams
  • Preferred Requirements:

  • Experience with Kafka and Snowflake
  • Familiarity with data security (encryption, anonymization)
  • Data-driven mindset and Agile methodology experience
  • Prior experience in the Financial Services sector







👍English: upper-intermediate






📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • verbal-communication-skills
  • collaboration

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