Candidate will be a member of Bentley’s Cloud Based Licensing and Usage Analytics team under Data Operations.
This position is responsible for working with the existing team to design, code, and implement new functionality, support existing functionality, and support business intelligence analysts data needs.
Candidate should be comfortable working within a core team, occasionally interfacing with other technical stakeholders both internally and externally.
This position is a mix of project-based and production support work with an emphasis on building a robust, sustainable enterprise data environment.
The primary role will be to support the company’s day-to-day data operations while working on projects to enhance functionality and reliability of the overall data infrastructure built on Azure Platform
Recreating existing application logic and functionality in Azure Databricks (Spark), Azure Data Lake, Data Factory, and SQL Database environment.
Working with Product and Business Intelligence teams to bring data into the company's environment.
Designing and maintaining data pipelines, microservices and enterprise databases.
Work with other internal technical personnel to troubleshoot issues and propose solutions.
Apply proven communication and problem-solving skills to resolve support issues as they arise
Bachelor s / Master’s degree in Computer Science.
Strong foundation in Core Computer Science : Algorithms, Data Structures, and Object Oriented Programming.
Excellent analytical and problem solving skills.
Hands on programming experience preferably : C++,C#, Python.
General understanding of Microsoft .Net Technology stack.
Strong understanding of Databases and Transact-SQL .
Knowledge of software development best practices.
Effective working in a team as well as working independently.
Strong written and verbal communication skills.
Preferred applicants will also have :
Experience implementing RESTful services in ASP.Net , Python, Ruby etc.
Experience in database development projects and ETL processes.
Hands on with scripting languages : PowerShell, Python.
Understanding of Scrum / Agile Methodologies.
Understanding / Experience of Microsoft Azure Data Lake, Data Factory, and SQL Database products or equivalent products from other cloud services providers (e.
g. AWS Elastic MapReduce, AWS Data Pipeline, Amazon RDS).