Wizeline
Enterprise • SaaS • Artificial Intelligence
Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.
1001 - 5000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 $43M Series B on 2018-03
Mid Level Data Scientist, Azure
November 25
Wizeline
Enterprise • SaaS • Artificial Intelligence
Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.
1001 - 5000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 $43M Series B on 2018-03
📋 Description
• Design, develop, and optimize Databricks notebooks to process large volumes of data on Azure. • Translate business rules into PySpark code, developing robust and scalable solutions. • Read and process data from various sources, primarily Delta Lake tables. • Apply complex transformations on Spark DataFrames, including: Data cleaning and preparation. Creation of new columns and derivation of metrics. Use of advanced functions such as Window Functions. Execution of different types of joins and data combinations. Write and update results in Delta tables. Refactor and optimize existing notebooks to improve performance and readability. Manage version control and notebook integration using Azure DevOps and Git. Actively collaborate in code reviews through Pull Requests
🎯 Requirements
• Expert-level experience in Azure Databricks • Solid experience with PySpark and Spark DataFrames • Strong hands-on expertise in Delta Lake (ACID transactions, schema evolution, optimization techniques) • Proficient in Azure DevOps (Repos, Pipelines, CI/CD workflows) • Strong Git skills (branching strategies, pull requests, code review collaboration)
🏖️ Benefits
• A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards
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