Copy of Mid Level Data Scientist (Azure)

We are:Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:Key Responsibilities

• 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

Must-have Skills

• 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)

Nice-to-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

• Solid experience in data manipulation using PySpark.

• Knowledge of cloud-based architectures, ideally Azure.

• Experience working with collaborative notebooks and version control in data environments.

• Ability to translate business processes into reproducible technical solutions.

What we offer:

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.