Be at the forefront of data innovation as a Data Engineer. Architect, develop, and maintain comprehensive data platforms that support advanced analytics and machine learning projects. In this critical role, you will apply your deep technical expertise in distributed systems and cloud platforms. Key skills include SQL for optimization, experience with AWS or Azure, and familiarity with Snowflake and data modeling. Your ability to integrate with DevOps tooling and machine learning frameworks will enhance team collaboration and problem-solving. Key Responsibilities: Design ETL/ELT pipelines using Python, Spark, and Hadoop Optimize data infrastructure and workflows with Kafka Build cloud-native solutions on AWS or Azure environments Manage Snowflake data warehouses utilizing dimensional modeling Conduct data discovery for new integrations Requirements: Advanced proficiency in SQL for data exploration Experience with key cloud platforms (AWS or Azure) Knowledge of Snowflake and modeling techniques Familiarity with CI/CD practices and ML frameworks Strong analytical skills and troubleshooting capability Leverage your expertise to create data-driven solutions that propel business intelligence and operational efficiency. #J-18808-Ljbffr
Job Title
Dynamic Data Engineer for Cloud and Machine Learning Projects