Title: Azure Data Engineer w/ Python/C# Location: 100% Remote Duration: long term Interview Mode: Video Need 12-13+ years candidate • PySpark or Scala • Spark SQL • Delta lakes • Python/C# PRIMARY DUTIES AND ACCOUNTABILITIES Item Accountability % • Create and maintain optimal data pipeline architecture 20 • Assemble large, complex data sets that meet functional / non-functional business requirements. 20 • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 20 • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies. 20 • Deliver automation & lean processes to ensure high quality throughput & performance of the entire data & analytics platform.? 10 • Work with data and analytics experts to strive for greater functionality in our analytics platforms. 10 POSITION SPECIFICATIONS Minimum: Preferred: • Experience in building/operating/maintaining fault tolerant and scalable data processing integrations using Azure • Strong problem-solving skills with emphasis on optimization data pipelines • Excellent written and verbal communication skills for coordinating across teams • A drive to learn and master new technologies and techniques • Experienced in DevOps and Agile • Experience using Docker or Kubernetes is a plus • Demonstrated capabilities with cloud infrastructures and multi-cloud environments such as Azure, AWS, IBM cloud environments and using CI/CD pipelines. • Experience with Delta Lakes • Experienced using Databricks & Apache Spark • Experienced using Azure Data Factory or Synapse Analytics RIT Solutions, Inc.
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Job Type
Fulltime role
Skills required
No particular skills mentioned.
Location
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Salary
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Date Posted
November 18, 2024
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RIT Solutions, Inc. is seeking an experienced Azure Data Engineer proficient in Python and C# for a long-term remote position. The ideal candidate will have over 12 years of experience in building scalable data processing integrations using Azure technologies.