Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.
Expertise in Databricks, with a focus on data engineering and advanced analytics use cases.
Proven experience with Spark Structured Streaming and building real-time data streaming pipelines at scale.
Strong Python programming skills, especially for data processing and automation.
Advanced SQL skills, including performance optimization and data modeling.
Experience with Airflow or similar workflow orchestration tools.
Solid understanding of AWS services, particularly those relevant to data engineering (e.g., S3, Lambda, Kinesis, Redshift).
Strong grasp of data architecture principles, including data warehousing, lakehouse patterns, and data governance.
Excellent communication skills, both written and verbal, to collaborate across technical and business teams.
Demonstrated leadership experience, including mentoring team members and/or leading small to mid-size engineering teams.
Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation and community are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. To help you reach your goals, we have access to LinkedIn Learning and Pluralsight, two top-tier platforms filled with high-quality content.
