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Cloud Data Engineer
Ref No.: 17-01233
Location: The Woodlands, Texas
Start Date: 10/05/2017
Job Description:
We are looking for a Data Engineer with experience designing and building tools and processes to facilitate data ingestion and manipulation of large volumes of data associated with SQL and/or NOSQL environments. The right candidate should be highly skilled in tasks such as parallelization and real-time data aggregation in a cloud based streaming context. This position requires the individual to maintain stability and availability of transactional and analytical schemas in an ever-evolving healthcare ontological data model. Other duties include creation and maintenance of both explicit and machine language classifications and attributions of actions to a source to support regulatory and business needs. Additionally, integration of message queues, quality systems, other tools that guarantee a robust data and delivery environment should be a part of your Engineering toolbox. If you can act as subject matter expert in the topics of data warehousing, data management, data quality and architecture and you are willing to ensure that technical solutions are designed and implemented which forward the scalability, integration, architectural, and technical standards and objectives of our organization, please feel free to contact us.

MINIMUM Education Requirement: Bachelor's degree in Computer Science, Mathematics, Information Management or a related field of study.
MINIMUM Experience Requirement: Seven (7) years in Information Technology projects.
Alternate Occupation: Project Engineer, Tech Lead, ETL/BI Developer or related occupation.
Alternate Education and Experience Requirements: (10) years of experience in an Engineering function as a project engineer, tech lead, or developer.

Experience you will need:
  • 2+ years of experience with Azure Data lake, Azure Data Factory, Azure SQL Data warehouse
  • Experience implementing advanced data analytics use cases using Azure HDInsight and Azure Client is a plus
  • Experience defining frameworks and patterns to implement data warehousing and analytics solutions in MS Azure cloud is a plus
  • 5+ years of experience with Microsoft BI stack (SSIS SSRS and SSAS).
  • 5+ years of experience with Informatica Power Center
  • 5 years of experience with UNIX shell scripting
  • 5+ years' experience with SQL in multiple environments (Oracle, SQL, Terradata, DB2 / ANSI)
  • 3-5+ years' experience as an ETL Developer
  • 5+ years of experience working with SQL server database.
  • 3+ years of scripting language experience
  • Advanced knowledge and understanding of data warehouse concepts using Inmon/Kimball/Data Vault methodologies.
  • Knowledge and understanding of Azure HDInsight and Azure Client
  • Working knowledge of Big Data concepts including but not limited to Hive, Spark, Kafka, and HDInsight
  • Experience with performance tuning complex SQL queries.
  • Experience working in a multi-organizational project with platform vendors, and different technology and architectural groups is a plus.