Data Engineer

Collaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake. Utilize expertise in data engineering and cloud technologies to contribute to the overall success of the organization by providing the necessary data infrastructure and fostering a data-driven culture.

Requirements

• 10 years of overall experience
• 5 years of experience working with Azure data factory & Databricks in a retail environment
• Bachelor's degree in Computer Science Engineering
• Expertise in SQL and data analysis and experience with at least one programming language (Scala and.NET preferred)
• Experience developing and maintaining data warehouses in big data solutions
• Experience with, Azure Data Lake, Azure Data Factory, and Databricks) in the data and analytics space
• Database development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, and cloud data lake technologies
• Worked with BI tools such as Tableau, Power BI, Looker, Shiny
• Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Fluency in verbal and written English mandatory
• Fluency in Spanish & French is useful