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.NET Data Analyst

4 months ago


Los Angeles, United States eTek IT Services, Inc. Full time
Job DescriptionJob DescriptionRole : Principal Data AnalystLocation: RemoteExperience : 7+ years
W2 Contract& JD : Required Skills1. 6+ years of development in .net and modern architecture 2. Proficiency in the programming languages (e.g. Java, Spark, Scala, Angular, React, Python, R, SQL, .NET) 3. Build and continuously evolve a body of current and upcoming technical domain knowledge relevant to role, problem space, and the enterprise (e.g. service architectures, containerization, public and hybrid cloud engineering, ETL, modern data platforms) 4. Come from a healthcare technology background, and have worked as in system architect, developer and/or modern data solutions roles.Additional SkillsJob DescriptionFully remote, .Net Engineer opportunity. Candidates must sit in CST or EST hours. This role will include supporting automation projects delivery and working with Offshore developers, and working on a large team.Responsibilities:• Demonstrates and applies understanding of modern development methodologies and tools to develop, deploy and maintain impactful, high-value solutions • Proficiency in the programming languages (e.g. Java, Spark, Scala, Angular, React, Python, R, SQL, .NET) • Demonstrate the capability of researching and objectively selecting relevant technologies for the problem space. • Build and continuously evolve a body of current and upcoming technical domain knowledge relevant to role, problem space, and the enterprise (e.g. service architectures, containerization, public and hybrid cloud engineering, ETL, modern data platforms) • Maintain awareness of current engineering operations practices (e.g. DevOps, DataOps, SecOps, Data Science, Data Engineering), deepening expertise where most relevant to role and problem space • Understands and applies engineering delivery practices to create robust, predictable, and fit-to-purpose solutions that solve enterprise and market needs • Accelerates delivery time to market through agility, design coding best practices code reuse, automation and quality culture • Drives operational efficiency and manageability through use of DevOps practices (end-to-end ownership, everything-as-code, instrumentation) • Understands underlying solution architecture of solution and aligns or adapts it to optimize for business needs • Produces design models with high degree of complexity and connects multiple domains and technologies • Pivots between transitional architecture and strategic architecture • Researches and recommends engineering best practices • Produces design models that describe enterprise solutions • Advocates for modern development technologies and appropriate use of emerging • Possesses high degree of practical engineering and/or business knowledge • Researches emerging technology that will optimize or automate systems, evaluates feasibility and recommends solution, ensuring automation is delivering business value • Effectively communicates with business stakeholders and technical team • Contributes to the identification/prioritization of solution through analysis and brainstorming • Sorts through large amounts of data to assess for relevancy • Seeks out multiple sources to gather information • Pro-actively identifies patterns in issues and researches root-cause to provide optimum solution for customer needs • Develops and implements scripts for maintenance, monitoring and performance tuning of database • Understand data structures and common methods to transform data for further analysis • Use modern tools and techniques leverage modern technologies, e.g., AI/ML • Design scalable Extract, Transform and Load (ETL) packages • Define and build enterprise wide standard data models • Normalize data across different domains/systems QUALIFICATIONS1. 6+ years of development in .net and modern architecture& 2. Proficiency in the programming languages (e.g. Java, Spark, Scala, Angular, React, Python, R, SQL, .NET)& 3. Build and continuously evolve a body of current and upcoming technical domain knowledge relevant to role, problem space, and the enterprise (e.g. service architectures, containerization, public and hybrid cloud engineering, ETL, modern data platforms) 4.& & & Come from a healthcare technology background, and have worked as in system architect, developer and/or modern data solutions roles.&