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Experience Level
Mid to Senior
Qualifications
A Bachelor's degree or higher in Computer Science, Data Engineering, or a related technical field. Proven experience in building and maintaining data pipelines and infrastructure in production environments. Expertise in SQL and data wrangling at scale (e.g., using tools like Spark, Airflow, dbt). Strong knowledge of statistics, data modeling, and performance tuning techniques. Proficiency in Python (including libraries such as Pandas and Numpy) and data visualization tools (e.g., Tableau, Power BI). Familiarity with cloud data platforms (e.g., AWS, GCP, Azure). Ability to design data schemas and implement effective analytics tracking strategies. An analytical mindset focused on impact, efficiency, and scalability.
About the job
ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.
In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.
About ampleinsightinc
Join a world-class team of engineers and data scientists with backgrounds from top companies like Facebook, Uber, Amazon, and Google. We are a rapidly growing consulting firm headquartered in Toronto, serving clients ranging from innovative startups to Fortune 500 companies looking to enhance their engineering and data capabilities.
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