What are the responsibilities and job description for the Data Architect-Canada position at Zortech Solutions?
Job Details
Job Description
Job Description
Role: Data Architect
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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