S
DATA ENGINEER ( Digital Transformation )
Star Services LLC
Abu Dhabi, UAEAED 7,000-18,000/moToday
UAEIT & TechnologyFull Time
Skills Required
PythonJavaSqlAwsAzureDockerKubernetesGitExcelMachine LearningCommunication
Job Description
About the job DATA ENGINEER ( Digital Transformation )Job Description: Data Warehouse and Machine Learning Engineer We are seeking a highly skilled and experienced Data Warehouse and Machine Learning Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining data warehousing solutions such as Redshift, Big Query, or Snowflake, as well as implementing and optimizing machine learning algorithms. You will also have a deep understanding of Data pipeline and workflow management tools like Airflow or Luigi, and experience working with cloud services such as AWS, Google Cloud Platform, Microsoft Azure, and Oracle. Additionally, knowledge of Docker and Kubernetes for containerization and orchestration is highly desirable.ResponsibilitiesDesign, develop, and maintain data warehousing solutions using Redshift, Big Query, or SnowflakeImplement and optimize machine learning algorithms to extract insights from large datasetsCreate and manage data pipelines using tools like Airflow or LuigiUtilize cloud services such as AWS, Google Cloud Platform, Microsoft Azure, and Oracle to store and process dataWork with Docker and Kubernetes to containerize and orchestrate data workflowsTroubleshoot and resolve anomalies in system functionality and performanceCollaborate with cross-functional teams to understand business requirements and develop data solutions accordinglyStay updated with the latest trends and advancements in data warehousing, machine learning, and cloud technologiesRequirementsBachelor's degree in Computer Science, Engineering, or a related fieldMinimum of 5 years of experience in data warehousing and machine learningProficiency in SQL and programming languages such as Python or JavaStrong understanding of data pipeline and workflow management tools like Airflow or LuigiExperience working with cloud services like AWS, Google Cloud Platform, Microsoft Azure, and OracleKnowledge of Docker and Kubernetes for containerization and orchestrationExcellent problem-solving and troubleshooting skillsAbility to work independently as well as in a team environmentStrong communication and collaboration skillsIf you are passionate about data and have a strong background in data warehousing and machine learning, we would love to hear from you! Join our dynamic team and be a part of building innovative solutions using cutting-edge technologies.#J-18808-Ljbffr
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