4 dataops engineer jobs at 4 companies in Sanborn, NY
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Lead Data Engineer
Pickering, Ontario, Canada
$111k-$132k/yrHybridFull Time
Municipal Property Assessment Corporation: Conducts property assessments and valuations for all Ontario municipalities.
7+ YOEDegree or diploma in a relevant technology field or equivalent; 7 years of enterprise data engineering experience, technical leadership, cloud data platforms, pipelines, databases, governance, and DataOps.
SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes, Rancher, GitLab CI/CD, Git, Bitbucket, Jira, Confluence
CGINYSE: GIB: Provides information technology and business consulting services.
Enterprise data platform engineering experience with DataOps, cloud infrastructure, ETL/ELT, governance, CI/CD, and distributed processing. Requires proficiency in Python and SQL plus expertise in platforms such as Databricks or Snowflake.
Databricks, Apache Spark, Snowflake, Apache Airflow, dbt, Apache Kafka, Confluent, Azure Event Hubs, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Terraform, Bicep, ARM, Kubernetes, Docker, Python, SQL, Scala, Java, Bash, PowerShell, GitHub Actions, GitLab CI/CD, Unity Catalog, Apache Iceberg, Delta Lake, Microsoft Fabric, AWS Glue, Athena, Redshift, Google BigQuery, Ansible
ColliersNASDAQ: CIGI: Providing commercial real estate, investment management, and engineering services.
8+ YOE8+ MgmtDegree or diploma in a related technology discipline; 8–10 years of progressive data or technology leadership experience; expertise with cloud data platforms, engineering practices, architecture, and team management.
Google Cloud Platform, BigQuery, Cloud Storage, Dataproc, Cloud Data Fusion, Cloud Run, Apigee, Kubernetes, GKE, Terraform, Azure DevOps, CI/CD, Looker, Power BI, microservices, DataOps, SDLC, data mesh, data fabric, AI/ML, GenAI
Moneris: Processes merchant payments and provides point-of-sale commerce solutions.
10+ YOE10+ years in data engineering, experience leading teams, hands-on with Snowflake/Databricks, cloud platforms (AWS/Azure/GCP), SQL/NoSQL, and Python/Scala/Java; university degree or equivalent.