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Remote

Azure Big Data Developer

12 months ago
Reston, VADAtec Solutions

Essential Job Functions:

  • Production experience in large-scale SQL, NoSQL data infrastructures such as Cosmos DB, Cassandra, MongoDB, HBase, CouchDB, Apache Spark etc.
  • Application experience with SQL databases such as Azure SQL Data Warehouse, MS SQL, Oracle, PostgreSQL, etc.
  • Proficient understanding of code versioning tools {such as Git, CVS or SVN}
  • Strong debugging skills with the ability to reach out and work with peers to solve complex problems
  • Ability to quickly learn, adapt, and implement Open Source technologies.
  • Familiarity with continuous integration (DevOps)
  • Proven ability to design, implement and document high-quality code in a timely manner.
  • Excellent interpersonal and communication skills, both written and oral.

Educational Qualifications and Experience:

  • Role Specific Experience: 2+ years of experience in Big Data platform development.

Certification Requirements (desired):

Azure Designing and Implementing Big Data Analytics Solutions

Required Skills/Abilities:

  • Experience with NoSQL databases, such as HBase, Cassandra or MongoDB.
  • Proficient in designing efficient and robust ETL/ELT using Data Factory, workflows, schedulers, and event-based triggers.
  • 1+ experience with SQL databases (Oracle, MS SQL, PostgreSQL, etc.).
  • 1+ years of hands on experience with data lake implementations, core modernization and data ingestion.
  • 3+ years of Visual Studio C# or core Java.
  • Experience at least in one of the following programming languages: R, Scala, Python, Clojure, F#.
  • 1+ years of experience in Spark systems.
  • Good understanding of multi-temperature data management solution.
  • Practical knowledge in design patterns.
  • In depth knowledge of developing large distributed systems.
  • Good understanding of DevOps tools and automation framework.

Desired Skills/Abilities (not required but a plus):

  • Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies.
  • Experience with Data Integration on traditional and Hadoop environments.
  • Experience with Azure Time Series Insights.
  • Some knowledge of machine learning tools and libraries such as Tensor flow, Turi, H2O, Spark ML lib, and Carrot (R).
  • Understanding of AWS data storage and integration with Azure.
  • Some knowledge of graph database.

Job Type: Contract

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