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Senior Spark Data Engineer / Big Data Engineer

Original title: Senior Spark Data Engineer / Big Data Engineer (m/w/d) 50-60%

Wavestone Germany · Raum Zürich Zürich, Schweiz, Switzerland · Hybrid · Senior

  • Raum Zürich Zürich, Schweiz, Switzerland · Hybrid
  • 2 Monate
  • German

Indexed (2 weeks ago) · refreshed constantly

Start
flexible
Duration
2 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3060229

Required skills

Nice to have:Spark UpgradesMigration Projects

Languages: German

Job description

Seeking a Senior Spark Data Engineer / Big Data Engineer for a project in the Zurich or St. Gallen area (remote within Switzerland only). The role involves migrating existing solutions, analyzing and adapting data pipelines, and developing/optimizing Spark-based processing.

Project overview

For an exciting project with our client in the Zurich or St. Gallen area (remote share only possible within Switzerland), we are looking for a Senior Spark Data Engineer / Big Data Engineer.

Further framework data

Type of assignment:

Utilization: 50%

Industry: Banking

Responsibilities

Must-have requirements

Nice-to-have requirements

-

Further information

Let’s power the future together

From business case to implementation: As a leading consulting firm for strategic transformations, we are a trusted partner for our clients - and for our employees. Responsible, high-performing, and always with a focus on people. #WeAreWavestone

With our 360° portfolio of consulting services, we combine first-class industry expertise with a broad spectrum of cross-industry competencies, work interdisciplinarily, and think outside the box. We can thus offer our partner companies and freelancers comprehensive perspectives within our own projects and, as a long-term framework agreement partner, support them in filling project vacancies – promptly and directly.

We look forward to hearing from you!

Your direct contact at Wavestone

Vivek Kandiah

Phone: *

Email: *@*.eu

  • Migration of existing solutions from Spark 3 to Spark 3.5
  • Analysis and adaptation of data pipelines and loading frameworks
  • Ensuring compatibility of existing applications
  • Development and optimization of Spark-based processing processes
  • Collaboration with data and platform teams
  • Testing, error analysis, and performance optimization
  • Documentation of technical changes
  • Several years of experience as a Data Engineer or Big Data Engineer
  • Very good knowledge of Spark and PySpark
  • Experience with Java, Python, or comparable compiled languages
  • Know-how in Big Data platforms such as Cloudera, Hadoop, or Databricks
  • Knowledge of data pipelines and ETL processes
  • Understanding of distributed systems and data architectures
  • Ideally, experience with Spark upgrades and migration projects
  • Open personality with a quick grasp
  • Fluent German language skills, both written and spoken
  • Assignment duration: from now until the end of 2026
  • Workload: 50-60%
  • Location: Zurich or St. Gallen area with remote share (only possible within Switzerland)
  • per week

Project details

  • Start: flexible
  • Duration: 2 Monate
  • Remote: hybrid
  • Location: Raum Zürich Zürich, Schweiz, CH
  • Languages: German

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