Data Engineer
Job Description
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 Data Engineer with expertise in Dataiku 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. 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.
- 8+ years of overall industry experience specifically in data engineering
- Strong knowledge of data engineering principles, data integration, and data warehousing concepts.
- Proficiency in building and maintaining data pipelines using Dataiku.
- Solid understanding of ETL processes and tools.
- Strong programming skills in Python, SQL, or Scala.
- Good understanding of data modeling, data architecture, and database design.
- Familiarity with cloud platforms like AWS, Snowflake, dbt, Azure, or GCP.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities.
- Attention to detail and a focus on delivering high-quality work.
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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This role is with Tiger Analytics in Toronto.
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