Job description

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: