Staff Data Engineer

Master's or bachelor's degree in computer science or related fields required. Minimum of 8+ years of experience in building data driven business solutions and solving data problems. Minimum of 4 years of experience in building enterprise solutions using open-source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, Kafka. Minimum of 4 years of hands-on expertise with Java or Scala or Python. Expertise with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MS SQL, MySQL or NoSQL. Experience with continuous integration tools such as Jenkins, Artifactory etc is desirable. Experience with data visualization and business intelligence tools like PowerBI and Tableau is a plus. Experience with Docker and Kubernetes is advantageous. Understanding in MSBI Technologies (SSIS, SSAS, SQL Servers) is preferred. Knowledge of working in Gen AI technologies and cloud solutions like MS Azure, AWS, Google Cloud. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualification 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualification Master's or bachelor's degree in computer science or related fields required. Minimum of 8+ years of experience in building data driven business solutions and solving data problems. Minimum of 4 years of experience in building enterprise solutions using open-source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, Kafka. Minimum of 4 years of hands-on expertise with Java or Scala or Python. Expertise with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MS SQL, MySQL or NoSQL. Experience with continuous integration tools such as Jenkins, Artifactory etc is desirable. Experience with data visualization and business intelligence tools like PowerBI and Tableau is a plus. Experience with Docker and Kubernetes is advantageous. Understanding in MSBI Technologies (SSIS, SSAS, SQL Servers) is preferred. Knowledge of working in Gen AI technologies and cloud solutions like MS Azure, AWS, Google Cloud.