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🔍 Big Data Application Developer – Expert 📍 Toronto, ON 🕒 12-Month Contract We are looking for a Big Data Application Developer (Expert) to design, build, and evolve large-scale, cloud-native data platforms supporting advanced analytics, data science, and enterprise reporting. 🚀 What You’ll Do Design and build scalable, cloud-native data platforms supporting Data Engineering, Data Science, and BI workloads Develop and deploy batch and event-driven data pipelines using technologies such as Spark, NiFi, Kafka, and Airflow Work across modern cloud platforms including Databricks, Azure, and Snowflake Implement and support DevOps, DataOps, and MLOps practices to ensure reliable, high-quality data products Ensure data security and governance standards are applied across all environments Provide L3 production support for the data platform technology stack Lead proof-of-concepts for hybrid cloud architectures integrating on-prem and cloud solutions Collaborate using Agile and design-thinking principles with engineering and business stakeholders Stay current with emerging data engineering technologies and trends ✅ Must-Have Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field 10+ years of experience developing large-scale, mission-critical applications 10+ years across the full SDLC (architecture, development, testing, deployment) Deep expertise with Big Data platforms such as Hadoop/Hive or columnar databases (ParAccel, Vertica, Sybase IQ) 10+ years of Big Data development experience in Financial Services 3–5 years hands-on experience with Spark, Python, NiFi, Kafka, Airflow, and cloud data platforms (Databricks, Snowflake) 2–3 years of system administration experience with Docker and Kubernetes Strong experience with UNIX/Linux environments and shell scripting Advanced SQL skills and proficiency in Java, Scala, and/or Python Experience with DevOps tools, automation, and DataOps practices A continuous-learning mindset and comfort working on complex, ambiguous problems ⭐ Nice to Have Experience with OpenShift, S3, Trino, Ranger, Hive Knowledge of networking, information security, and vulnerability management Experience building dashboards with Prometheus and Grafana Familiarity with data science tools and libraries Mindlance is an equal opportunity employer.

CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. The Customer Experience Architecture (CXA) organization leads the design of our AI-enabled integrated Customer Success and Support motions across CE&S and drives the implementation requirements across end-to-end customer experience architectures, improving the quality and experience KPIs across CE&S.

Overview Languages English Education Bachelor's degree Experience 2 years to less than 3 years Hybrid Work must be completed both in person and remotely. Responsibilities Tasks Analyze and provide advice on the managerial methods and organization of an establishment Conduct quality audits Develop quality management and quality assurance standards Conduct research to determine efficiency and effectiveness of managerial policies and programs Propose improvements to methods, systems and procedures Plan the re-organization of operations Provide customer service Train staff Oversee development of communication strategies Manage knowledge Coaching Offer mentoring Plan and control budget and expenditures Direct and advise staff in the development and implementation of service quality assessment strategies Manage contracts Develop and implement marketing strategies Experience and specialization Computer and technology knowledge Agile Machine Learning SAP (FI/CO / HR / MM / OT SD) Cloud Manufacturing sector experience Pulp and paper Area of specialization Business management Process improvement Business methods analysis Management analysis Operations management Operational methods research Project management Business process management Business or education partnerships Additional information Work conditions and physical capabilities Fast-paced environment Work under pressure Tight deadlines Attention to detail Personal suitability Accurate Client focus Efficient interpersonal skills Excellent oral communication Excellent written communication Flexibility Judgement Organized Team player Time management Integrity Show less [{"type":"people_also_viewed","href":"https://ca..com/jobs/view/manager-consultation-engagement-at-true-environmental-4346111920","jobId":"4346111920","label":"Manager - Consultation & Engagement"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/people-consulting-workforce-advisory-change-management-manager-vancouver-at-ey-4344516948","jobId":"4344516948","label":"People Consulting - Workforce Advisory - Change Management - Manager - Vancouver"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/workforce-transformation-consulting-manager-at-pwc-canada-4367365194","jobId":"4367365194","label":"Workforce Transformation Consulting, Manager"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/proposal-specialist-mining-advisory-at-slr-consulting-4366523240","jobId":"4366523240"...

Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Author clear, structured reasoning traces for complex technical tasks. Show less [{"type":"people_also_viewed","href":"https://ca..com/jobs/view/software-engineer-ml-infrastructure-at-serve-robotics-4348084688","jobId":"4348084688","label":"Software Engineer, ML Infrastructure"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/senior-machine-learning-engineer-ai-data-trainer-at-alignerr-4370392062","jobId":"4370392062","label":"Senior Machine Learning Engineer - AI Data Trainer"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/senior-machine-learning-expert-at-alignerr-4360595825","jobId":"4360595825","label":"Senior Machine Learning Expert"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/machine-learning-scientist-at-variational-ai-4325859676","jobId":"4325859676","label":"Machine Learning Scien...

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Show less [{"type":"people_also_viewed","href":"https://ca..com/jobs/view/senior-ai-engineer-grafana-ops-ai-ml-usa-remote-at-grafana-labs-4372122798","jobId":"4372122798","label":"Senior AI Engineer - Grafana Ops, AI/ML USA Remote"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/staff-applied-ai-and-machine-learning-engineer-payments-risk-at-gusto-4334432878","jobId":"4334432878","label":"Staff Applied AI and Machine Learning Engineer, Payments & Risk"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/sr-machine-learning-engineer-notifications-at-pinterest-4369661515","jobId":"4369661515","l...

Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.

Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.

[Applicants: Be among the first 25 applicants | Industry: Software Development and IT Services and IT Consulting | Type: Full-time | Level: Associate] “We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Fo