Senior Data Engineer

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design and deliver robust big data pipelines for structured and unstructured data across multiple geographies • Help healthcare organizations achieve business goals through advanced data ingestion technologies, cloud services, and DevOps practices • Collaborate with Cloud Engineering, Software Engineering, and ML Engineering architects • Create platforms, solutions, and applications addressing healthcare trends such as digital diagnosis, software as a medical product (SaMD), and AI marketplaces • Develop migration, storage, and processing utilities using Azure Synapse Analytics • Design and build cloud migration strategies for cloud and on-premise applications • Diagnose and troubleshoot distributed systems problems within the Azure ecosystem • Build tools to ingest and process several terabytes or petabytes of data per day • Optimize performance and cost within Azure Synapse • Design and develop storage and compute solutions for large customers using Azure Synapse • Collaborate with Infrastructure, Network, Engineering, DevOps, SiteOps, and cloud customer teams • Build automation, testing, monitoring, administration, and data operations tooling across Azure Synapse workspaces and cloud clusters • Lead technology teams and mentor junior members

🎯 Requirements

• 6+ years of experience (Experience Level) • 3+ years of hands-on Data Engineering experience • Strong knowledge of data structures, distributed systems, data modeling, and databases • Strong proficiency in SQL and hands-on experience with Python/PySpark • Extensive experience developing Big Data solutions for migration, storage, and processing • Proven track record implementing solutions on cloud platforms • Experience building and supporting large-scale systems in a production environment • Strong experience developing ETL/ELT pipelines using Azure Data Factory (ADF) and Synapse Pipelines • Deep expertise in Azure, specifically Azure Synapse Analytics, including SQL Pools, Spark Pools, Data Explorer, and Pipelines • Experience with Azure Data Lake Storage (ADLS Gen2) • Strong experience with Apache Spark, especially Azure Synapse Spark Pools • Experience with Azure Synapse SQL Pools, Azure Cosmos DB, Azure Data Explorer, and other Azure data services • Experience with Azure Data Factory, Apache Airflow, or similar orchestration frameworks • Experience with Azure Event Hubs, Azure Service Bus, or Kafka • Ability to lead technology teams and provide mentorship/support • Experience leading multiple large projects • Deep understanding of Agile development • Effective communication with technical and non-technical stakeholders • Experience working with insurance data/domain is good to have • Experience with Apache Airflow, Databricks, dbt, Microsoft Fabric, or Snowflake is good to have • Experience with Kubernetes/AKS is good to have • Knowledge of Terraform/Infrastructure as Code and Azure DevOps is good to have • Experience with data governance, data quality, lineage, and metadata management is good to have • Team management and mentoring • Ability to mentor and guide junior team members • Ability to communicate complex subjects and technical plans clearly • Ability to write clear reports accessible to varied audiences

🏖️ Benefits

• Upskilling and professional development opportunities • Exposure to cutting-edge AI, ML, data, and cloud technologies • Opportunities to work with Fortune 500 companies • Work in a research-focused organization with 60+ patents filed • Collaborate with passionate, talented colleagues • Opportunities to make an impact at a fast-growing AI-first digital engineering company

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