Data Scientist

Luxoft; Zürich; Vor Ort; CHF 90’000 - 130’000; Vollzeit

Zusammenfassung

A leading company in the tech industry is seeking an experienced data engineer to design and implement data solutions for a banking client. The ideal candidate will have a strong background in data engineering and expertise in Microsoft Azure, particularly in building machine learning models and managing big data workflows. This role involves collaboration across teams to develop scalable AI systems and ensure adherence to cloud security practices.

Qualifikationen

• Strong experience in data engineering and building robust pipelines.
• Hands-on expertise in Azure AI services, including Machine Learning Studio and Databricks.
• Proficient in data visualization using Power BI.

Aufgaben

• Design and implement data engineering solutions for high data quality.
• Build, train, and deploy machine learning models using Azure tools.
• Manage workflows for big data processing using Apache Spark and Hadoop.

Kenntnisse

Data Engineering

Azure AI Services

Apache Spark

Hadoop

Data Visualization

Analytical Thinking

Jobbeschreibung

Project description

We are looking for an experienced specialist to work for one of our client from the banking industry.

Responsibilities

• Design and implement data engineering solutions, including preprocessing, wrangling, and pipeline orchestration to ensure high data quality and reliability.
• Build, train, and deploy machine learning models using Azure tools such as Machine Learning Studio, Databricks, and Azure AI services.
• Manage and optimize workflows for big data processing using technologies like Apache Spark, Hadoop, and Azure Synapse Analytics.
• Collaborate with engineering and analytics teams to develop scalable AI systems within the Azure cloud ecosystem.
• Ensure solutions adhere to cloud security best practices, data governance, and compliance standards.Communicate complex data findings through impactful visualizations and storytelling using Power BI and similar tools.

SKILLS

Must have

• Strong experience in data engineering, with proficiency in building robust pipelines and transforming raw data into analytics-ready formats.
• Hands-on expertise with Microsoft Azure AI services, including Machine Learning Studio, Databricks, and related tooling.
• Familiarity with big data technologies, particularly Apache Spark, Hadoop, and Azure Synapse Analytics.
• In-depth knowledge of cloud computing principles, especially within Azure infrastructure (e.g., storage, networking, identity, and security).
• Proficient in data visualization and communication using Power BI, with the ability to clearly articulate insights to technical and non-technical audiences.
• Excellent analytical thinking and problem-solving capabilities, with a solution-oriented and collaborative mindset.

Nice to have

n/a