Data Analyst

Our Data team is responsible for designing pipelines from multiple sources and warehouses that will allow us to derive business insight. The team uses Azure and other open-source technologies, such as Azure Data Factory and PySpark. As our Data Analyst / Engineer, you will optimize our data integration at scale.

• As a Data Engineer / Analyst, you will be responsible for the continuous operation and optimization of the data management platform.
• Build data pipelines and python-based ETL tools for acquiring, processing, and delivering data
• Develop database schemas in our data warehouse that enable performance analysis
• Handle the challenges that come with managing terabytes of data
• Develop the server applications and APIs that are used by our Data Team
• Collaborate with the team to use BI Tools and build / deliver reports to monitor and understand company performance

• Bachelor s degree or higher in Computer Science, Computer Engineering, Information Technology, or related field
• Fluent in programming languages such as SQL, Python or Scala
• 2 to 3 years of work experience in building ETL pipelines in production data processing and analysis
• Expert in designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments
• 2 to 3 years of hands-on experience in writing complex SQL queries and using a BI tool
• Experience with Data lakes and designing and maintaining data solutions using Spark and Azure serverless services such as ADF
• Experience with data ingestion APIs, data sharing technologies, and warehouse infrastructure and development
• Good verbal and written communication skills, following best practices in project documentation.