Data Engineer - Remote

Overview

As a Data Engineer at Wizeline, you will design, develop, and maintain scalable data pipelines and architectures using Azure services. You will work with cross-functional teams to deliver high-quality data solutions that meet business needs.

In Short

• 5+ years of experience in Data Engineering.
• Strong expertise in Azure services including Synapse Analytics and Blob Storage.
• Hands-on experience with Apache Spark and Databricks.
• Proficiency in SQL, Python, or Scala for data transformation and analysis.
• Experience working with structured and unstructured data.
• Knowledge of data modeling, warehousing, and performance tuning.
• Design and maintain scalable data pipelines.
• Collaborate with teams to develop data solutions.
• Monitor and optimize data workflows.
• Ensure compliance and best practices in data engineering.

Requirements

• Experience with Azure Data Factory and Azure Data Lake is a plus.
• Knowledge of CI/CD pipelines and DevOps practices in data engineering.
• Understanding of Machine Learning workflows within Databricks.
• Familiarity with big data processing frameworks and real-time data streaming.

Benefits

• Diversity and development culture.
• Opportunities for personalized career paths.
• Access to Wizeline Academy for upskilling in tech.
• Inclusive work environment.