Data Engineer
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Role details
Tech stack
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Requirements
- 6+ years experience required
- Strong knowledge of Microsoft SQL Server, including designing, developing, and implementing complex SQL queries, stored procedures, and functions.
- Expertise in Python programming, including experience with data analysis libraries such as NumPy, and Pandas.
- Proficiency in SSIS (SQL Server Integration Services) for ETL (Extract, Transform, and Load) processes.
- Proficient in C# programming, including experience with .NET framework.
- Strong analytical and problem-solving skills, with the ability to analyze complex data and identify trends, patterns, and insights.
- Good communication and interpersonal skills, with the ability to work effectively in a team environment and collaborate with other IT professionals, business analysts, and stakeholders.
- Ability to adapt to changing requirements and priorities, with a proactive and flexible approach to work.
Requirements
· Proficient in RESTful Services, Java, Scala, Spring Boot/Play Framework, RDBMS, NoSQL, Python
· Proficient in development of scalable cloud native microservices
· Proficient with Designing and building APIs
· Azure and or GCP exposure and experience
Skills: Analysis Skills, Application Programming Interface (API), Business Analysis, Cloud Computing, Communication Skills, Data Analysis, Database Extract Transform and Load (ETL), GCP (Good Clinical Practices), Interpersonal Skills, Java, Microservices, Microsoft .NET, Microsoft C# (C Sharp), Microsoft SQL Server, Microsoft Windows Azure, NoSQL, Problem Solving Skills, Python Programming/Scripting Language, REST (Representational State Transfer), Relational Databases (RDBMS), SQL (Structured Query Language), SQL Server Integration Services (SSIS), Scala Programming Language, Scalable System Development, Stored Procedures, Team Player, Trend Analysis
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