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 is 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

    • Assist with leading the team's transition to the Databricks platform and utilize the newer features of Delta Live Tables, Workflows etc

    • Design and develop data pipelines that extract data from Oracle, load it into the data lake, transform it into the desired format, and load it into Databricks data lakehouse

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

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

    • Help create and maintain documentation for data mappings, data definitions, architecture and data flow diagrams

    • Build proof-of-concepts to determine viability of possible new processes and technologies

    • Deploy and manage code in non-prod and prod environments

    • Investigate and troubleshoot data related issues and fix or provide solutions to fix defects

    • Identify and resolve performance bottlenecks, which could include suggesting ways to optimize and performance tune databases and queries to enhance query performance
    Qualifications

    • Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field

    • 4 plus years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles

    • Must hold a current/active Databricks Data Engineer/Analyst certification
    Skills

    • 4+ years of solid continuous experience in Python

    • 3+ years working with Databricks with knowledge and expertise of data structures, data storage and change data capture gained from prior production implementations of data pipelines, optimizations, and best practices

    • 3+ years of experience in Kimball dimensional modeling (star-schema comprising of facts, type1 and type2 dimensions, aggregates, etc.) with solid understanding of ELT/ETL

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

    • 2+ years of experience with Airflow

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

    • 2+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar

    • 2+ years of cloud experience (Azure preferred)

    • Experience with CI/CD utilizing git/Azure DevOps

    • Experience with storage formats including Parquet/Arrow/Avro

    • Effectively collaborate with team members while being able to work independently with minimal supervision

    • Must have a creative mindset, knack to solve complex problems, passion to work with data, and a positive attitude

    • Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products

    • Expert problem-solving skills, including debugging skills, allowing 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)
    Languages: R, Java, Scala

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