Principal Data Analyst - W2 Job at eTek IT Services, Inc. in Los Angeles

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Fully 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

QUALIFICATIONS

1. 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.&