Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.
- Developer experience in cloud platforms like AWS,
Snowflake, etc.
- Proficient user of Bash, Python, and Shell
scripts for automating builds and deployment procedures, with a focus on
CI/CD and Medallion Architecture.
- Skilled in Shell/Bash scripting and building data pipelines on Unix/Linux systems.
- Hands-on experience with big data technologies such as Spark, Hive,
Iceberg tables, etc.
- Expert in data modeling, is aware of data
modeling, data warehousing concepts.
- Experience with building data pipelines in Python/Pyspark/HiveSQL/Presto/BigQuery
- Prior experience in Pharma and/or AbbVie is
strongly preferred.
- Great communication
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What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
