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Job Role: Data Engineer for MI-Fluid Analytics
Location: Houstan, TX
Job Description:
Back End Data Engineer develops the back end of a data processing application, i.e. handling the logic, database interactions, and data processing. The Data engineer implements given requirements as per standard engineering practices and company standards, performs requirements analysis and design, as well as evaluates technologies and patterns suitable for the solution. The position reports to the Fluid Analytics team leader.
Responsibilities:
Development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness
Builds prototypes, products and systems that meets the project quality standards and requirements
Provides technical leadership and documentation to developers and stakeholders
Contributes to and supports re-use through common components that are well documented and tested.
Provide timely corrective actions on all assigned defects and issues.
Contributes to development plan by providing task estimates.
Skills and knowledge:
In-depth expertise with Azure Cloud Platform and Databricks Spark (or equivalent)
Experience with processing engines for big data (Spark, Hive, Hadoop, etc.)
Expertise with one or more backend programming languages – Python (preferred), Scala, Java. Experience working with typical industry standard libraries for respective languages.
Relational database expertise
Understand continuous integration and continuous delivery technologies such as Jenkins, Azure DevOps
Familiar with code quality tools and best practices
Experience with working in agile environment
Link: Apply with Resume at Jobboard
Thanks and Regards,
Sravani Jakku
Aqua Information Systems Inc. 300 N Pottstown Pike, Suite # 130 Exton, PA 19341 Contact No: 484-485-7163 Fax: 215-600-1617 Email: sjakku@aquainsys.com GTalk: sjakku@aquainsys.com
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