Data Engineer

4 days ago

Toronto, Canada Tiger Analytics Full time

4 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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 have 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. The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be proficient in visualization tools, and be able to apply their skills to generate insights that help solve business challenges. We seek someone who can bring their vision to the table and implement positive change to elevate the company's data analytics capabilities. Requirements 8+ 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 Strong experience in Python, SQL, and PySpark Experience creating and optimizing complex data processing and transformation pipelines using Python Experience with Snowflake Cloud Datawarehouse and DBT tool Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with various databases Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake Experience with Databricks is a plus Understanding of ELT and ETL patterns and their appropriate use; knowledge of data models and data transformation Strong analytical skills working with unstructured datasets Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management Experience supporting and collaborating with cross-functional teams in a dynamic environment Benefits Significant career development opportunities are available as the company grows. This position offers a chance to be part of a small, challenging, entrepreneurial environment with a high degree of individual responsibility. Seniority level Mid-Senior level Employment type Full-time Job function Other Industries IT Services and IT Consulting #J-18808-Ljbffr

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