years of hands-on experience with big data tools and frameworks. Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, ApacheSpark, or AWS Glue. Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve data issues. Communication: Excellent communication More ❯
workflows professional motorsports organization. Experience using simulation tools to optimize vehicle performance. Experience with machine learning libraries. Experience with big data tools (e.g. Hadoop, Spark, SQL, and NoSQL Database experience). About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace More ❯
least one of the following additional languages: Java, C#, C++, Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake Good understanding of object-oriented programming (OOP) principles & concepts Familiarity with advanced SQL … techniques Familiarity with data visualization tools such as Tableau or Power BI Familiarity with Apache Flink or Apache Storm Understanding of DevOps practices and tools for (CI/CD) pipelines. Awareness of data security best practices and compliance requirements (e.g., GDPR, HIPA). To Qualify: You should be More ❯
