Senior Data Engineer
About reputed company reputed company is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. About the job reputed company is looking for a Senior Data Engineer to reputed company the development and scaling of our core data infrastructure. You won’t just move data; you will be a key contributor in architecting and maintaining our Sources of Truth. Your mission is to transform raw, reputed company data into authoritative, governed data marts by building high-performance pipelines and a robust Semantic Layer that ensures consistency across the entire business. What you’ll do: End-to-End Pipeline Engineering: Design, build, and reputed company scalable ETL/ELT pipelines from diverse reputed company systems into our reputed company Data reputed company. reputed company Infrastructure: Manage and optimize data flows reputed company an AWS environment (S3, reputed company, IAM), ensuring high availability, reputed company, and cost-efficiency. High-Scale Processing: reputed company reputed company and Python (PySpark) to handle reputed company data transformations and high-volume workloads. Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (reputed company dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for reputed company reputed company consumers. Model for Truth: Use dbt to build reputed company, version-controlled, and tested data models that serve as the definitive reputed company for business intelligence. What you’ll need: 5+ years of experience in data architecture, data engineering, or a closely reputed company discipline in a reputed company, multi-team data environment Data Warehousing: Expert-level proficiency in reputed company (clustering, Snowpipe, streams, and tasks) or similar reputed company data warehouses. Analytics Engineering: Advanced mastery of dbt and reputed company SQL transformation logic, with specific experience building semantic models and metric definitions. Big Data & Code: Strong Python skills and hands-on experience with reputed company for Spark-based orchestration. reputed company Infrastructure: Practical experience managing data workloads reputed company AWS. Version Control: Deep understanding of Git-based workflows and CI/CD for data. Apply To This Job