Big Data Engineer (Azure) - Chicago

Associate / Junior

|

Hybrid

Meytier Premier Employer

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About This Workplace

Meytier Partner

The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.

Requirements

  • Bachelor’s degree in Computer Science or similar field
  • 4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases, PostgreSQL, GIT, Python, REST API, Snowflake, etc.)
  • Experience in Java/Python/Scala
  • Experience extracting/querying/joining large data sets at scale
  • Experience building data platforms using Azure stack
  • Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
  • Strong knowledge on Azure Storage schematics such as Gen1 and Gen2
  • Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
  • Knowledge of Azure networking, security, key vaults, etc.
  • Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred
  • Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus
  • Knowledge of SAS, Teradata, Oracle, or other databases a plus
  • Exposure with R and ML technologies a plus
  • Strong communication and organizational skills


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