Sr Data Engineer

What You'll Do Design, develop, and maintain scalable data pipelines and data integration solutions across on-premise, cloud, and hybrid environments. Build and optimize data models, ETL/ELT processes, and data services to support analytics, reporting, and operational use cases. Support Master Data Management (MDM) initiatives by implementing data integration, data quality, and data governance controls. Work closely with Data Scientists, Analysts, and business stakeholders to understand requirements and deliver reliable data solutions. Develop and maintain APIs, microservices, and data services that enable efficient consumption of enterprise data. Implement automation to improve operational efficiency, reduce manual effort, and enhance data platform reliability. Monitor, troubleshoot, and optimize data pipelines and platform performance to meet service-level expectations. Contribute to platform operations, incident resolution, and continuous improvement initiatives. Participate in code reviews, testing, documentation, and adoption of engineering best practices. Collaborate effectively with cross-functional teams to deliver projects and business outcomes. What You'll Need Experience building and maintaining data lakes, data warehouses, and large-scale data processing pipelines. Proficiency in SQL and experience working with both relational and NoSQL databases. Hands-on experience with big data technologies such as Spark, Kafka, Hive, and HBase. Experience with programming such as Python, Java, or Scala. Familiarity with data governance, data quality, metadata management, and data lineage concepts. Experience working in Agile development environments and applying software engineering best practices. analytical, problem-solving, and communication skills. Experience with Cloudera Data Platform (CDP) or similar enterprise data platforms. Experience with ETL and orchestration tools such as Talend, Azure Data Factory, or similar technologies. Exposure to cloud data services on Azure, AWS, or GCP. Familiarity with Master Data Management (MDM) concepts and tools. Experience with modern data lake technologies such as Delta Lake or Databricks. Exposure to metadata management and data governance platforms. Ability to work effectively with multiple stakeholders in a fast-paced environment.