IT Solutions Engineer/Analyst I
3 weeks ago
The IT Solutions Engineer Analyst I is responsible for software and hardware product delivery and performance for all application spaces including next generation technology such as cloud engineering and mobile applications. Drives products from design completion to volume production release through lifecycle including troubleshooting software and system problems to ensure performance and reliability.
- Experience in SQL, programming (C#, Java, Python, Javascript), ETL tools (Azure Data Factory, Informatica)
- Knowledge in Data analytics and Business Intelligence tools
- Experience designing and delivering cloud-based data solutions (Azure/AWS)
- Experience facilitating data for big data analytics and business intelligence/reporting.
- Experience working in both agile and waterfall projects
Minimum Requirements
- Bachelors' degree in Information Technology or related field and 1 year of prior relevant experience or equivalent combination of education and directly related experience.
- Requires basic technical subject matter knowledge within a job area or system
Preferred Special Skills, Knowledge or Qualification
- Excellent SQL design and development skills. Develop high-quality, complex SQL queries that interface with applications. Design tables, store procedures, views, functions, forms, and reports.
- Experience with one of the major RDBMS (Oracle, SQL Server preferred).
- Working experience with cloud technologies (like Microsoft Azure Synapse, Microsoft Azure ADF, Oracle Cloud Infrastructure, Oracle Autonomous Database etc.)
- Knowledge of all aspects of software development lifecycle SDLC.
- Familiarity with concept of Data modeling, Data structure, table design, data warehouse design( Dimensional Modeling), Data analytics, reporting.
- Familiarity with Azure DevOPs and agile methodology
- Responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Deep understanding of the popular data analysis tools and databases, infrastructure as a code to create and maintain an optimal pipeline architecture
Read the full posting.
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