Big Data Engineer

Big Data Engineer with Bachelor Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects. Job Duties and Responsibilities Collaborate with System Architects to design, develop, test, and implement efficient Snowflake data models aligned with enterprise data warehousing standards. Build and manage cloud and hybrid integrations using third-party ETL tools like Azure Data Factory for seamless Snowflake data pipelines. Maintain CI/CD pipelines in GitHub and Azure DevOps to ensure code quality, version control, and automated deployment for Snowflake solutions. Conduct SQL performance analysis, query optimization, and database tuning to improve efficiency and scalability in Snowflake models. Develop robust, scalable Snowflake integrations and data models following industry best practices. Perform root cause analysis on data model issues and resolve performance bottlenecks to maintain reliable Snowflake systems. Engage with customers and architects to refine requirements and communicate effectively for business alignment. Apply strong time management to prioritize concurrent tasks and deliver Snowflake projects promptly. Use analytical and problem-solving skills to address complex warehouse challenges within the Snowflake ecosystem. Work experience / Technologies required for the position At least 5+ years of experience in building and optimizing Big Data, Data pipelines, architectures and data sets. Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, meta data, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected data sets. Working knowledge of message queuing, stream processing, and highly scalable Big Data, data stores. Experience in supporting and working with cross-functional teams in a dynamic environment. Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including AzureSQL and Snowflake. Experience with Azure cloud services: ADLS, AzureSynapse, Azure Databricks, Delta Lake Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Work location is Portland, ME with required travel to client locations throughout USA. Rite Pros is an equal opportunity employer (EOE). #J-18808-Ljbffr