Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI.
We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.
Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Sr. Data Engineer with expertise in Snowflake to join our data team. As a 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.
Requirements
- 9+ years of overall industry experience specifically in data engineering
- 5+ years of experience building and deploying large-scale data processing pipelines in a production environment
- Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes / Snowflake
- Solid experience with Snowflake Cloud Data Platform (SnowPro Core Certification is a bonus) or other cloud data warehouses (AWS Services)
- Experience with dbt (core and / or Cloud) and Fivetran
- Experience with Informatica Cloud is a bonus
- Strong problem-solving skills and the ability to handle complex data challenges
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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