Sr Data Engineers

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

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

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