Job Descriptions:
Join SPAATech and help leading organizations transform their data driven strategies for growth. Our capabilities and client engagements through active collaboration and value driven operational model bring an unparalleled opportunity to grow and advance. Choose SPAATech, and embark on an extraordinary career.
Data Engineer to optimize our data integration at scale. Inside our Data Integration team, you will be designing pipelines and warehouses to model data from multiple sources that will allow us to derive business insight. Using Azure and other open-source technologies, such as Azure Data Factory and PySpark, you will design and build our next-generation ETL pipelines and data models.
Build data pipelines and python-based ETL tools for acquiring, processing, and delivering data Develop data models and schemas in our data warehouse that enable performant, intuitive analysis Handle the challenges that come with managing terabytes of data Collaborate with business leaders and analysts to define key metrics and build reporting to monitor and understand company performance Develop the server applications and APIs that are used by our Data Team Basic Qualifications
Bachelor s degree or higher in Computer Science, Computer Engineering, Information Technology or related field Fluent in several programming languages such as Python, R, or Scala 5+ years of work experience in building ETL pipelines in production data processing and analysis Hands-on experience writing complex SQL queries Experience with data lakes and designing and maintaining data solutions using Spark and Azure server less services such as ADF (Azure Data Factory) Experienced with data ingestion APIs, data sharing technologies, and warehouse infrastructure and development Azure certification is a plus Prior consulting experience is a plus
