Lead Data Engineer - AWS
Tiger AnalyticsDallas, Texas, United States
Posted April 28, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines on AWS cloud infrastructure. The role involves working closely with data scientists, analysts, and business stakeholders to deliver scalable data solutions and optimize performance, reliability, and cost-effectiveness. The company focuses on advanced analytics consulting for Fortune 500 companies.
Requirements
- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure.
- Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL.
- Build and maintain orchestration workflows using Apache Airflow.
- Lead the migration of legacy data systems to modern cloud-based architectures.
Benefits
- Equal employment opportunities
