• Big Data Infrastructure Engineer(EKS/Databricks)

    Insight Global (Glendale, CA)


    Job Description

    The Ad Infrastructure team is looking for a seasoned Data Software Engineer to help build and scale our data processing platforms.

     

    Project Outline: Moving Data from AWS/EKS(Kubernetes) into Databricks platform.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

    Must be strong in the following areas:

    - Moving from EKS infrastructure into Databricks

     

    - Data processing frameworks: Apache Airflow, Spark, Flink.

     

    - Experience with MWAA - Amazon Managed Workflows for Apache Airflow

     

    - 2 plus years designing and operating Big Data/Databricks environments at scale on AWS, including performance tuning and securing workloads.

     

    - Local to a Disney hub: LA/SF/Seattle/NYC - working PST hours 3 to 4 days onsite - AWS Certifications (e.g., Solutions Architect, DevOps Engineer).

     

    - Familiarity with all three: Airflow, Spark, and Flink.

     

    - Experience operating service mesh technologies like Istio.

     

    - Experience running Spark or Flink workloads on Databricks. null

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].