Senior Big Data Engineer

Job Description One of our largest national retail clients is looking to bring on a Big Data Engineer to help them with several ongoing modernization projects. This individual will design, build, and optimize scalable data pipelines using Spark, SQL, & will be using Google Cloud data products to process, transform, & analyze large data sets. The projects will consist of upgrading legacy systems and building new analytic applications while ensuring data reliability, performance, and scalability. 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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 or uniformed service member status, 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of experience as a Data Engineer / Big Data Engineer Strong hands-on experience with Apache Spark (5+ years) Proficiency in Python and/or Scala Advanced SQL skills with experience querying relational databases Experience building, optimizing, and maintaining large-scale data pipelines and architectures 2+ years of hands-on experience with Google Cloud Platform (GCP) 2+ years of experience with Databricks (Azure) Experience with additional cloud platforms (Azure and/or AWS) Exposure to AI / ML building blocks within GCP Experience with data visualization tools such as Tableau, PowerBI, or Looker Experience working with structured and unstructured datasets