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IT Services and IT Consulting

Data Engineer

United StatesHybridContractPosted 2 months ago

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Role summary

SuisseCo is seeking a Data Engineer for a 6-month contract role within the banking industry in Wroclaw. The position requires expertise in Databricks, Python, and PySpark to build and optimize big data pipelines, experiment with cloud solutions on Azure, and collaborate with data scientists and product managers. The role involves end-to-end project responsibility, focusing on performance tuning, query optimization, and delivering business value. This hybrid role offers a blend of onsite and remote work.

SuisseCo specializes in the international recruitment and placement of highly qualified IT specialists in Switzerland. We support our clients in implementing their IT projects and guarantee quick and flexible solutions of the highest quality.

For one of our clients in the banking industry, we are currently looking for a
Data Engineer with expertise in Databricks, Python, and PySpark
.

- Start Date:
ASAP
- Duration:
6 Months
- Location:
Wroclaw (3 days onsite, 2 day WFH)

Key Responsibilities

  • Lead high-impact projects with end-to-end responsibility, ensuring their successful delivery.
  • Utilize Databricks, Python, and PySpark to experiment with cloud-based solutions that address specific business challenges.
  • Build and optimize complex big data pipelines using PySpark to generate insights from internal and external data sources.
  • Collaborate with data scientists and product managers to build and deploy data-driven applications, ranging from proof-of-concepts to full-scale production solutions.
  • Drive innovation by leveraging cloud infrastructure (e.g., Databricks on Microsoft Azure) to enhance data engineering capabilities.
  • Focus on performance tuning and query optimization for large-scale data processing, ensuring efficiency and scalability.

Essential Skills and Qualifications

  • Strong professional experience in data engineering, with a focus on Databricks, Python, and PySpark.
  • Proficiency in working with Dataframe APIs such as Spark or Pandas, and solid experience in SQL.
  • Experience in optimizing queries and indexing for both RDBMS and Spark environments.
  • Strong knowledge of Python; additional experience with functional programming or scripting in R, bash, etc., is a plus.
  • Familiarity with the entire software development lifecycle, from development to deployment.
  • A proactive, problem-solving mindset with a clear focus on delivering business value and enhancing user experience.
  • Effective communication and collaboration skills, along with a team-oriented attitude.
  • Excellent written and spoken English.

Desired Skills and Qualifications

  • Hands-on experience with cloud-based technologies, particularly Microsoft Azure, Kubernetes, and Docker.
Ready to apply?
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