Data Engineering offshore

As a Senior Data Engineer, you will: Design, develop, and support scalable batch and near real-time data pipelines, data products, and lakehouse-ready data assets using Spark, Python, SQL, Hive, Databricks, and cloud-native technologies. • Build and optimize capabilities supporting the ONE Data Lake and Mastercard's unified data platform strategy. • Develop ingestion, transformation, and orchestration solutions for batch and streaming/near real-time data patterns using technologies such as Cribl, SSIS, Apache Ozone, Cloudera Data Services, Hive, Spark, Azure, Microsoft Fabric, Databricks, and related ecosystem tools. • Enable trusted, governed, and accessible enterprise data through the implementation of data quality, lineage, and governance standards. • Partner closely with Product, TPM, Data Governance, Architect, and Engineering teams to deliver strategic business outcomes. • Support AI, analytics, reporting, and decisioning use cases by delivering scalable and reliable data assets. • Drive modernization initiatives across hybrid data environments and cloud. • Improve operational efficiency through automation, monitoring, observability, and self-service capabilities. • Troubleshoot complex platform and data issues, perform root cause analysis, and implement sustainable solutions. • Evaluate emerging technologies and identify opportunities to advance Team ONE's data capabilities. Required Qualifications • 6+ years of experience delivering enterprise-scale data engineering,