Lead Data Engineer- Snowflake job opportunity at Tiger Analytics Inc..

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Date2026-01-06T15:36:30.409Z bot
Tiger Analytics Inc. Lead Data Engineer- Snowflake
Experience: 10-years
Pattern: Full-time
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loacation Newport Beach, United States Of America
loacation Newport Beach....United States Of America

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. 10+ years of overall industry experience specifically in data engineering 8+ years of experience building and deploying large-scale data processing pipelines in a production environment. Strong proficiency in Python, SQL, and PySpark Expert-level AWS (S3, Glue, Lambda) and Databricks/Apache Spark for batch and real-time streaming. Deep expertise in the Snowflake Cloud Data Platform , including datamart development and SnowPro-level optimization Lead the implementation of dbt (Core/Cloud) and Matillion for robust ETL/ELT workflows. Leverage AWS best practices to ensure pipelines are cost-effective, reliable, and high-performing. Develop and maintain version-controlled data workflows using Git and automated deployment pipelines. Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake Strong problem-solving skills and the ability to handle complex data challenges Build processes supporting data transformation, data structures, metadata, dependency and workload management

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