- Recherche d'emploi
- Innisfail, AB
- data analyst
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Role : Data Architect-GCP
Location : Remote-Canada
Duration : 6-12+ Months
Job Description : Qualifications
What you bring :
Build Data pipelines required for optimal extraction, anonymization, and transformation of data from a wide variety of data sources using SQL, NoSQL and AWS 'big data' technologies.
Streaming Batch
Work with stakeholders including the Product Owners, Developers and Data scientists to assist with data-related technical issues and support their data infrastructure needs.
Ensure that data is secure and separated following corporate compliance and data governance policies
Take ownership of existing ETL scripts, maintain and rewrite them in modern data transformation tools whenever needed.
Being an automation advocate for data transformation, cleaning and reporting tools.
You are proficient in developing software from idea to production
You can write automated test suites for your preferred language
You have frontend development experience with frameworks such as React.js / Angular
You have backend development experience building and integrating with REST APIs and Databases using languages such as Java Spring, JavaScript on Node.js, Flask on Python
You have experience with cloud-native technologies, such as Cloud Composer, Dataflow, Dataproc, BigQuery, GKE, Cloud run, Docker, Kubernetes, and Terraform
You have used cloud platforms such as Google Cloud / AWS for application hosting
You have used and understand CI / CD best practices with tools such as GitHub Actions, GCP Cloud Build
You have experience with YAML and JSON for configuration
You are up-to-date on the latest trends in AI Technology
Great-to-haves :
3+ years of experience as a data or software architect
3+ years of experience in SQL and Python
2+ years of experience with ELT / ETL platforms (Airflow, DBT, Apache Beam, PySpark, Airbyte)
2+ years of experience with BI reporting tools (Looker, Metabase, Quicksight, PowerBI, Tableau)
Extensive knowledge of the Google Cloud Platform, specifically the Google Kubernetes Engine
Experience with GCP cloud data related services ( Dataflow, GCS, Datastream, Data Fusion, Data Application, BigQuery, Data Flow, Data Proc, Dataplex, PubSub, CloudSQL, BigTable)
Experience in health industry an asset
Expertise in Python, Java
Interest in PaLM, LLM usage and LLMOps
Familiarity with LangFuse or Backstage plugins or GitHub Actions
Strong experience with GitHub beyond source control
Familiarity with monitoring, alerts, and logging solutions
Join us on this exciting journey to make Generative AI accessible to all and create a positive impact with technology
L!-CEIPAL