About this role
Senior Data Developer - Canada
Remote, Canada
In this role you will…
- Design, build and maintain batch or real-time data pipelines in production.
- Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
- Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
- Automate data workflows such as data ingestion, aggregation, and ETL processing.
- Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
- Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
- Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
- Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
- Monitor data systems performance and implement optimization strategies.
- Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.
You have what it takes if you have…
- 5+ years of SQL skills and experience with relational databases and database design.
- Experience working with cloud Data Warehouse solutions – Databricks, Apache Spark.
- Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
- Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP).
- Experience building and deploying machine learning models in production.
- Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
- Strong proficiency in scripting languages like Bash.
- Strong proficiency in data pipeline and workflow management tools (e.g., Airflow).
- Strong project management and organizational skills.
- Excellent problem-solving, communication, and organizational skills.
- Proven ability to work independently and with a team.
Extra dose of awesome if you have…
- Good understanding of NoSQL databases like CrateDB, Redis, Cassandra, MongoDB, or Neo4j.
- Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce).
LI-Remote
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