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- You'll have experience in a Data Engineer role (5+ years), with a Graduate degree in Computer Science, Information Systems, Electrical Engineering or another quantitative field
- You build and maintain optimal data pipeline architecture
- You assemble large, complex data sets that meet functional / non-functional business requirements.
- You build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, DataBricks, No-SQL
- Develop highly scalable architecture leveraging modern techniques to maximize cost reductions
- You identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, data quality checks, minimize Cloud cost, etc.
- You build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- You document and communicate standard methods and tools used.
- You work with other data engineers, data ingestion specialists, and experts across the company to consolidate methods and tool standards where practical.
- Youre experienced using the following software/tools:
- Big data tools: Hadoop, HDI, & Spark
- Relational SQL and NoSQL databases, including COSMOS
- Data pipeline and workflow management tools: DataBricks (Spark), ADF, Dataflow
- Microsoft Azure
- Stream-processing systems: Storm, Streaming-Analytics, IoT Hub, Event Hub
- Object-oriented/object function scripting languages: Python, Scala, SQL
Azure Data Engineer - Calgary, Canada - Integriti Group Inc
Description
Requirements: