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Data Engineer at Ample Insight Inc | Toronto

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Bachelor's Degree (or higher, such as Master's or PhD) in Computer Science, Engineering, Mathematics, or Statistics. Hands-on experience with user engagement data, social media, marketing analytics, and/or financial data. Proficiency in Python (including libraries such as Pandas, Numpy, scikit-learn), R, TensorFlow, and other relevant data science tools. Extensive experience managing relational databases, creating complex data schemas, and crafting efficient SQL queries. In-depth understanding of performance tuning for ETL jobs, SQL, and databases. Familiarity with Snowflake is preferred. Experience using Airflow is a significant advantage. DevOps experience is a plus.

About the job

We are seeking a talented and enthusiastic Data Engineer who thrives on the challenge of transforming raw data into actionable insights. If you are passionate about analytics and eager to contribute to the development and scaling of data capabilities within organizations, this role is for you. You will work closely with fellow data scientists to create robust data tools and pipelines that enhance data accessibility and usability. Your expertise in designing ETL workflows and data schemas will be crucial, and your critical thinking and problem-solving abilities will help drive our projects forward.

About Ample Insight Inc

Join a dynamic team of engineers and data scientists hailing from top tech companies like Facebook, Uber, Amazon, and Google. As a rapidly growing consulting firm based in Toronto, we cater to a diverse clientele, from innovative startups to Fortune 500 firms, all striving to enhance their engineering and data capabilities.

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