Snowflake DBT Engineer

As a Data Engineer with 8 to 15 years of experience, you will be responsible for: - Building scalable data solutions with a focus on data engineering roles - Utilizing Python for ETL, data manipulation, and scripting - Working hands-on with Snowflake or equivalent cloud-based data warehouses - Demonstrating proficiency in orchestration tools like Apache Airflow - Implementing and managing messaging queues such as Kafka, AWS SQS - Building and optimizing data pipelines at scale, processing terabytes of data - Applying expertise in data modeling, data warehousing, and database design - Working with cloud platforms like AWS, Azure, or GCP - Understanding CI/CD pipelines for data engineering workflows - Collaborating with cross-functional teams in an Agile development environment Preferred Skills: - Familiarity with Scala or Java for data engineering tasks - Knowledge of Docker, Kubernetes for containerization and orchestration - Experience with stream processing frameworks like Apache Flink - Familiarity with Apache Iceberg for data lake optimization - Exposure to machine learning workflows and integration with data pipelines Soft Skills: - Strong problem-solving skills with a passion for solving complex data challenges - Excellent communication and collaboration skills to work effectively with cross-functional teams - Ability to thrive in a fast-paced, innovative environment As a Data Engineer with 8 to 15 years of experience, you will be responsible for: - Building scalable data solutions with a focus on data engineering roles - Utilizing Python for ETL, data manipulation, and scripting - Working hands-on with Snowflake or equivalent cloud-based data warehouses - Demonstrating proficiency in orchestration tools like Apache Airflow - Implementing and managing messaging queues such as Kafka, AWS SQS - Building and optimizing data pipelines at scale, processing terabytes of data - Applying expertise in data modeling, data warehousing, and database design - Working with cloud platforms like AWS, Azure, or GCP - Understanding CI/CD pipelines for data engineering workflows - Collaborating with cross-functional teams in an Agile development environment Preferred Skills: - Familiarity with Scala or Java for data engineering tasks - Knowledge of Docker, Kubernetes for containerization and orchestration - Experience with stream processing frameworks like Apache Flink - Familiarity with Apache Iceberg for data lake optimization - Exposure to machine learning workflows and integration with data pipelines Soft Skills: - Strong problem-solving skills with a passion for solving complex data challenges - Excellent communication and collaboration skills to work effectively with cross-functional teams - Ability to thrive in a fast-paced, innovative environment