Big Data Engineer Focused on Streaming Architectures and DBT

Elevate data solutions as a Big Data Engineer specializing in streaming architectures. Utilize your extensive AWS experience and DBT expertise to deliver impactful client solutions. This role is perfect for a hands-on engineer who will define the direction of streaming data ingestion from GCP to AWS. You will also ensure that data modeling and engineering standards are upheld. Your contribution to the design and implementation of distributed systems will greatly enhance our data capabilities and client service levels. Key Responsibilities: • Lead architectural direction for GCP to AWS data streams • Design frameworks for robust data ingestion processes • Implement pipelines using distributed processing such as Spark • Maintain scalable data warehouses with DBT structured workflows • Enhance performance tuning strategies for Redshift queries Requirements: • Minimum 6 years of experience in data engineering • Proven capability in streaming architecture design • Significant DBT hands-on experience (models and documentation) • Strong expertise in Amazon Redshift optimization • Knowledge in Git workflows for version control Drive innovation in data engineering as you lead the implementation of cutting-edge streaming solutions.