Sr Data Engineer
Sr Data Engineer – Cloud Data Modernization Location: Las Vegas, NV | Contract-to-Hire | Remote Eligible About the Role - Join a high-impact team driving a large-scale cloud modernization initiative for a major enterprise in the gaming and hospitality sector. - As a Senior Data Engineer, you will architect and implement data ingestion and ETL pipelines, moving data from on-premises systems into Google Cloud Platform (GCP) with a focus on BigQuery. - This is a unique opportunity to leverage your expertise in modern data engineering, collaborate on cutting-edge solutions, and influence best practices across a dynamic environment. Responsibilities - Design, develop, and optimize robust data ingestion pipelines to migrate enterprise data from on-premises sources to GCP-based platforms - Build, manage, and maintain ETL/ELT processes that load structured and unstructured data into centralized bronze/raw layers - Integrate data from a wide range of sources: SQL data warehouses, APIs, IBM iSeries/DB2, Excel, and file-based systems - Develop batch and near real-time data pipelines using Python and cloud-native services - Implement and support real-time data streaming with Dataflow and Datastream - Orchestrate complex data workflows using Apache Airflow - Support CI/CD processes for streamlined data engineering deployments - Collaborate closely with downstream analytics, data modeling, and reporting teams - Recommend architectural improvements and automation opportunities to optimize data engineering processes - Act as a technical leader, providing guidance and best practices for data migration and integration projects Required Skills and Experience - 8+ years ETL experience using SQL Server SSIS (2008r2-2022) - 10+ years with T-SQL programming - Strong mastery of Microsoft BI Stack (SSIS, SSRS, SSAS) - Proven experience with Google Cloud Platform (BigQuery, Dataflow, Datastream), Azure SQL, or AWS equivalents - Advanced Python development for data workflows - Experience with Apache Airflow or similar orchestration tools - Deep understanding of data modeling concepts (relational & dimensional) - Hands-on experience in migrating data from on-premises to cloud environments - Ability to build and optimize both batch and real-time data pipelines - Strong documentation, collaboration, and communication skills - Willingness to provide 24x7 on-call support as needed Preferred Skills - Experience integrating APIs and external data feeds - Background in Databricks, Data Factory, AWS Glue, or similar tools - Exposure to gaming and hospitality data domains - Familiarity with Data Science data preparation, MDM, and Data Quality - Consulting or partner experience with enterprise cloud transformations - Python, Java, or .NET development, scripting languages, familiarity with DevOps practices Benefits - Long-term contract with intent to convert to permanent - Opportunity to work on a flagship cloud modernization project - Exposure to the latest cloud and data engineering technologies - Collaborative, agile team environment with strong technical leadership - Career advancement in a high-growth, innovative sector How to Apply - Excited to architect the future of enterprise data? Submit your updated resume highlighting relevant cloud migration, ETL, and Python experience. - Qualified candidates will be contacted promptly for interviews.