Azure Data Engineer
2 days ago
Responsibilities:
- Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.- Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.- Liaising with coworkers and clients to elucidate the requirements for each task.- Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.- Reformulating existing frameworks to optimize their functioning.- Testing such structures to ensure that they are fit for use.- Creating innovative data validation methods and data analysis tools.- Interpreting data trends and patterns to establish operational alerts.- Preparing data for prescriptive and predictive modeling.
Requirements and skills:
- Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.- High proficiency in Scala/Java and Spark for applied large-scale data processing.- Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API.- Expertise with big data technologies, including Spark, Azure Data Factory, Azure Data Lake, Azure Databricks, Power BI, Alteryx.- Solid understanding of batch and streaming data processing techniques.- Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.- Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
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