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Hays
5+ ansCandidates need five or more years of data or software engineering experience, hands-on production work on Google Cloud, and advanced Python and SQL skills. Experience with ETL/ELT pipelines and orchestration tools such as Apache Beam, Airflow or Spark is expected.
BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Apache Beam
Flinks
6+ ans6 to 8 years shipping machine-learning models to production; Production-grade Python; Bachelor's in a quantitative field; master's or PhD an asset
Python, SQL, BigQuery, PyTorch, HuggingFace, MLflow
Flinks
5+ ans5 ans et plus d'expérience en ingénierie des données en environnement infonuagique; SQL expert et Python solide; Expérience avec BigQuery, dbt, Airflow ou équivalent
BigQuery, dbt, Airflow, Cloud Composer, Pub/Sub, Kubeflow
Agilus Work Solutions: Experts in Specialized Talent for Nearly 50 years. Canada's largest, full service, privately-owned recruiting firm.
5+ ansCandidates need at least 5 years of hands-on cloud data engineering experience, with advanced SQL and strong Python skills. Experience with modern data platforms such as BigQuery, dbt or Airflow is expected.
BigQuery, dbt, Airflow, Python, SQL
Veeam Software: Follow us here for company news, product updates, events and more.
6+ ansCandidates need 6+ years of software engineering experience, including identity or access systems, security data pipelines or large-scale distributed processing. They need strong Go, Java or Python skills, experience with graph databases, Elasticsearch or OpenSearch, and a large analytical store, plus an understanding of RBAC, ACLs and group membership.
Elasticsearch, OpenSearch, Databricks, Neptune, Microsoft Graph API, Active Directory
OX Security
5+ ansCandidates need an M.Sc. in a related field and 5+ years of offensive security or application security experience. They must code in Python or Go, know web and API vulnerabilities, and have hands-on experience with LLMs for security tasks.
Kubernetes, BigQuery, SQL, CI/CD pipelines, containers
GlassHouse Systems: GlassHouse Systems (GHS) is an infrastructure, security, and managed services solutions provider who develops, designs and deploys solutions for…
8+ ansCandidates need 8+ years in IT infrastructure, cloud consulting or solution architecture, including 5+ years delivering public cloud solutions. Hands-on enterprise Google Cloud experience, strong client-facing skills and a Google Professional Cloud Architect certification are preferred.
Google Compute Engine, Google Kubernetes Engine, BigQuery, Cloud SQL, Cloud Storage, Terraform
Cover Genius
8+ ans2+ gestionCandidates need 8+ years in software or data engineering, including 2+ years leading engineering teams. They need experience building analytics products for non-technical users, taking LLM agents to production, and working with warehouse-scale data using dbt, Airflow, SQL and Python.
dbt, Airflow, BigQuery, Django, Node.js, TypeScript
Dell
5+ ansCandidates need 5+ years in a customer-facing technical role, plus proven delivery of data, analytics or AI solutions. Hands-on experience with a major cloud platform and a leading data platform is required, along with strong communication skills for senior audiences.
Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud Platform and Vertex AI, strong Python skills, and experience with generative AI, RAG and agent frameworks. Experience building APIs, scalable systems and production ML workflows is also expected.
Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions
Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills, and experience with generative AI, APIs, and scalable system design. The posting asks for advanced skills in RAG, agent frameworks, and fine-tuning.
Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions
Tiger Analytics Inc.
Candidates need experience building data pipelines and cloud ETL/ELT processes on Snowflake and GCP, plus Dataiku expertise. They should be able to apply AI document and text tools and tune complex SQL and Python at petabyte scale.
Dataiku, Snowflake, Snowpark, BigQuery, Cloud Storage, Dataflow
Tiger Analytics Inc.
Candidates need hands-on Google Cloud Vertex AI experience, advanced SQL for BigQuery and Python for machine learning. They also need experience with cloud storage, model endpoints, data preprocessing and agentic AI architectures.
Vertex AI, BigQuery, Spanner, AlloyDB, Dataflow, Google Cloud Storage
Tiger Analytics Inc.
7+ ansCandidates need 7+ years in software, ML or AI engineering, strong Python skills, and hands-on experience building GenAI or agentic AI systems in production. Experience with at least one major cloud (AWS, Azure or GCP) and strong customer-facing communication are also required.
Python, Amazon Bedrock, Azure OpenAI Service, Vertex AI, OpenSearch Serverless, Azure AI Search
ML arteka
Candidates need experience designing semantic layers over cloud analytical stores like Athena, BigQuery or Snowflake, and hands-on Power BI skills including DAX and Row Level Security. They also need AWS data stack knowledge, dimensional modeling, and a habit of writing tests for data pipelines and models.
Power BI, Athena, S3, Iceberg, Aurora PostgreSQL, AWS
Alliance de l'industrie touristique du Québec
2+ ansBaccalauréat en informatique, génie logiciel ou science des données; 2 à 5 ans en ingénierie de données ou intelligence d'affaires; Maîtrise solide de SQL et expérience avec GCP et BigQuery
SQL, Python, BigQuery
ZoomInfo Technologies LLC
7+ ansCandidates need 7+ years in DevOps, SRE or cloud infrastructure, with hands-on AWS and GCP data services, production Kubernetes, Terraform, CI/CD tooling and Python. Experience with observability tools and cloud cost optimization is also required.
Kubernetes, Terraform, Jenkins, ArgoCD, GitHub Enterprise Actions, AWS Kinesis
ZoomInfo Technologies LLC
4+ ansCandidates need 4+ years as a data engineer with production pipeline ownership, strong SQL and Python, and hands-on Snowflake and dbt experience. Airflow and Fivetran are required, plus Databricks, Spark, AWS and GCP exposure, and good communication skills.
Snowflake, dbt, Airflow, Fivetran, Databricks, Spark
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ ansCandidates need 3 to 5 years of software or data engineering experience, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).
Gemini Enterprise, Vertex AI, Google ADK, BigQuery, LangGraph, LangChain
16 entreprises