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Data Engineer

Toronto, ON
Full Time
3 days ago

Come and be a part of Amazon's amazing growth story!'s Forecasting group is searching for a Data Engineer to join our team. We are pioneers in the fields of demand analysis and forecasting. If you want to learn how to leverage technology to predict the future, this is the team for you.

As a member of the Demand Forecasting team, you'll play a key role in solving some of the world's most complex technical challenges associated with Forecasting. You will apply Large-scale computing, Distributed systems, Data mining, Scalability, Machine learning and Statistical Algorithms techniques - just to name a few.

Our Data Engineer needs to be able to gather and understand data requirements, present it to software engineers, and work in the team to achieve high quality data ingestion goals. You need a passion for complex problems, and enjoy the challenge of operating complex and mission critical systems under extreme loads. Do you think you are up to the challenge? Would you like to learn more and stretch your skills and career?
In this role, you will be a technical expert with significant scope and impact. You will work closely with a group of Software Development Engineers, Product Managers, Data Scientists, and Business Intelligence Engineers to create the data infrastructure and pipelines necessary to drive our team's initiatives.

Successful candidates should come from a strong data engineering background. You need to have experience with structured data, and being able to analyze/transform the data using various tools. Although SQL is a strong requirement, being flexible enough to work in a scripting environment is a must. Often, the pace of innovation and change implies a need to move to new data sources, and our Data Engineers get to participate in deep diving business data in order to understand/measure sources of disparity. Your analytical skills and knowledge of schema metadata will be essential.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 4+ years of industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
• Hands-on experience and advanced knowledge of SQL.
• Experience in Data Modeling, ETL Development, and Data Warehousing.
• Experience using business intelligence reporting tools (Power BI, Tableau, Cognos, etc.).
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.).
• Knowledge of Data Management fundamentals and Data Storage principles.
• Experience coding and automating processes using Python or R.
• Strong customer focus, ownership, urgency, and drive.
• Excellent communication skills and the ability to work well in a team.
• Effective analytical, troubleshooting, and problem-solving skills.

• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue).
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Experience providing technical leadership and educating other engineers for best practices on data engineering.
• Background in Big Data, non-relational databases, Machine Learning and Data Mining is a plus.