Data Engineer - Oldwick - A.M. Best

    A.M. Best
    A.M. Best Oldwick

    1 week ago

    Description
    Benefits Summary
    • Flexible and hybrid work arrangements
    • Paid time off/Paid company holidays
    • Medical plan options/prescription drug plan
    • Dental plan/vision plan options
    • Flexible spending and health savings accounts
    • 401(k) retirement savings plan with a Roth savings option and company matching contributions
    • Educational assistance program
    Overview
    The Data Engineer will be responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes.
    Responsibilities

    • Develop and maintain scripts and tools using Python, PowerShell, and R

    • Design, write, and optimize SQL queries for performance and scalability

    • Help modernize 'legacy' solutions to realign with our current code base and tech stack

    • Assist in redevelopment, improvement and ongoing maintenance of existing data, analytics, and reporting solutions

    • Ensure accurate and efficient data integration of diverse data sources and formats

    • Enhance and support database functions and procedures

    • Optimize data access and data processing workflows for performance, scalability, and efficiency

    • Implement data quality checks and validations to ensure the accuracy, consistency, and completeness of data

    • Identify and resolve performance bottlenecks, investigate and troubleshoot data related issues, and provide solutions to address defects

    • Seamlessly transition between production support and development tasks based on business needs

    • Deploy and manage code utilizing engineering best practices in non-prod and prod environments
    Qualifications

    • Bachelors Degree in computer science, data science, software engineering, information systems, or related quantitative field.

    • Minimum 4 years of experience working as a Python Developer, Solutions Engineer, Data Engineer, or similar roles.
    Skills

    • 4+ years of solid continuous experience in Python

    • 3+ years of solid experience writing SQL and PL/SQL code

    • 3+ years of experience working with relational databases (solid understanding of Oracle preferred)

    • 2+ years of experience scripting with PowerShell

    • Experience programming in R

    • Experience with web application frameworks including Shiny, Dash, Streamlit

    • Experience with CI/CD utilizing git/Azure DevOps

    • Knowledge of alternative storage formats including Parquet/Arrow/Avro

    • Ability to collaborate within and across teams of different technical knowledge to support delivery of solutions

    • Expert problem-solving skills, including debugging skills, enabling the determination of sources of issues in unfamiliar code or systems
    Pluses, but not required: Any work experience in the following:
    ETL / ELT tools: Spark, Kafka, Azure Data Factory (ADF)
    NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar

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