Data Lake Admin (Azure) (CON01415)
Experience Requirements:
5 - 8 years
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Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Experience Requirements:
5 - 8 years
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Experience Requirements:
3 - 7 years
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Benefits:
Medical, Dental, Vision
Life Insurance
401k (with match)
Paid time off
Experience Requirements:
5+ years as an experienced customer support leader
Experience in music distribution or music tech a plus
Advanced experience with CRM systems and AI-driven workflows
Other Requirements:
Strong data analysis skills with Google Sheets
Decisive and accountable
Comfortable with complex domains like royalties and rights
Responsibilities:
Lead day-to-day Customer Support operations
Manage Support Leads, driving accountability and quality
Establish and maintain a Quality Assurance (QA) program
Track and improve CSAT and resolution rates
Work cross-functionally to reduce contact rates
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Benefits:
Medical insurance
Vision insurance
Dental insurance
401(k)
Education Requirements:
Bachelor's degree in Business, Communications, IT, or Healthcare Administration
Experience Requirements:
3–6+ years of experience in customer/technical support
1–2+ years of direct management or supervisory experience
Hardware support experience
Other Requirements:
Familiarity with HIPAA compliance
Bilingual English/Spanish preferred
Proficiency with HubSpot Service Hub and Aircall preferred
Responsibilities:
Manage a high velocity support operation
Manage schedules and coverage to meet SLAs
Mentor and develop a distributed support team
Serve as first-line escalation point for complex technical issues
Partner with Product and Engineering to relay customer feedback
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Benefits:
Fully paid medical plans
401k with Company Match
FREE Sauna or Cold Plunge
Learning and Development stipend
Paid time off
Experience Requirements:
5+ years of experience leading a customer-facing support team
Experience managing multi-channel support operations
Other Requirements:
Full time Monday-Friday
Excellent written and verbal communication skills
Strong proficiency with customer support systems
Responsibilities:
Lead, coach, and develop a customer support team
Own the customer experience across all support channels
Protect and improve brand reputation across review platforms
Own Customer Support systems like Zendesk
Define and track key CS metrics
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Benefits:
Medical, dental & vision plans
Fully paid parental leave (12 weeks)
Unlimited time off
Equity
LinkedIn Learning membership
Experience Requirements:
5+ years of experience in technical support or customer service
Experience in SaaS or real estate tech preferred
Familiarity with SLA management
Other Requirements:
Hybrid: in-office at least four days per week
Process improvement mindset
Familiarity with ticketing systems
Responsibilities:
Handle Tier 2 and escalated tickets
Act as a point of escalation for critical issues
Standardize support workflows and documentation practices
Collaborate with EPD and Account Management teams
Coach and train Tier 1 and Tier 2 support team members
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Benefits:
Flexible/Hybrid remote work option
Supportive and collaborative work environment
Diversity, equity, and inclusion focus
Education Requirements:
High school diploma or GED
Experience Requirements:
At least three years of progressively responsible administrative/customer service experience
Experience in high call volume call center preferred
Other Requirements:
Proficiency in modern office practices
Familiarity with utility management systems preferred
Ability to analyze and present data
Responsibilities:
Lead customer service operations via various channels
Manage escalated customer issues
Conduct high-volume collections activities
Process service orders and account adjustments
Assist with training and coaching new hires
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Education Requirements:
Degree in software engineering, data science or similar area
Experience Requirements:
3+ years of experience as a Data Engineer
Strong proficiency with SQL and relational databases
Hands-on experience with Azure Data Factory and data lake architectures
Experience with orchestration tools (e.g. Airflow, Prefect, Dagster)
Solid programming skills in Python
Other Requirements:
Experience with healthcare data (FHIR, HL7)
Familiarity with HIPAA, GDPR, and ISO27001
Willingness to travel for rare onsite sessions
Responsibilities:
Build, maintain, and optimize batch and near-real-time data pipelines
Design and evolve data models supporting AI/ML workflows
Implement data quality checks, testing, and monitoring
Implement API based data extraction and scraping technology
Collaborate with AI/ML engineers and frontend teams
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Education Requirements:
Degree or equivalent (business, healthcare, IT or related)
Project management training or certification (PRINCE2, AgilePM, PMP)
Experience Requirements:
Significant experience delivering digital or SaaS solutions into healthcare
Strong track record of managing multi-stakeholder projects
Working knowledge of NHS login and the NHS App
Comfortable interpreting usage analytics and operational data
Familiarity with agile or hybrid delivery methods
Other Requirements:
Exposure to NHS login or patient portals
Proactive, ownership mindset
Clear written and verbal communication for clinical audiences
Responsibilities:
Lead implementation projects for EBO’s Intelligent Patient Portal
Plan and manage deployment of IPP journeys (appointment management, etc.)
Own project governance: scope, milestones, RAID, and reporting
Coordinate technical delivery teams for EPR/PAS integrations
Lead projects to integrate portal through NHS login and NHS App
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Education Requirements:
Bachelor’s or master’s degree in interaction design, interface design, human-computer interaction, or service design
Degree in graphic design with emphasis on UX or equivalent qualification
Any graduate with a degree in arts or diploma in designing
Additional courses in UI/UX
Experience Requirements:
2-10 Years of experience required
Two or more years of relevant industry experience designing applications and products
Other Requirements:
Portfolio of design projects
Strong interaction and visual design skills (Adobe CS, Miro)
Knowledge of rapid prototyping tools such as Adobe XD and Invision
Familiarity with agile software development processes
Responsibilities:
Gather and evaluate user requirements with product teams
Develop UI/UX mockups and prototypes
Adhere to product style standards on fonts, colors, and images
Create storyboards, user flows, process flows, wireframes, and site maps
Maintain a holistic and human-centered approach to product design
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Education Requirements:
Relevant bachelor’s degree
Experience Requirements:
3-9 years of experience required
Working experience with React.js version 16+
Extensive experience with RESTful APIs
Experience building SaaS or other products
Other Requirements:
Strong proficiency in JavaScript (ES6) and DOM manipulation
Thorough understanding of React.js and workflows like Flux or Redux
Ability to write custom CSS (CSS3) and HTML5
Experience with common tools such as Babel, Webpack, and NPM
Proficient understanding of data structures, databases, and SQL
Responsibilities:
Develop new user-facing features using React.js
Build reusable components and front-end libraries
Translate designs and wireframes into high quality code
Optimize components for maximum performance across devices and browsers
Coordinate with the team working on different layers of the product
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Education Requirements:
Relevant bachelor’s degree
Testing certification (Preferably ISTQB)
Experience Requirements:
8-10 years of experience required
Minimum three years of hands-on experience in Java
Eight or more years of hands-on functional and automation testing experience
Prior test lead experience
Other Requirements:
Experience with Salesforce Metadata API and Lightning Web Components
Experience with CI tools like GitHub and Jenkins
Strong object-oriented programming skills in Java
AWS or Salesforce certification is advantageous
Understanding of security testing, AI, and machine learning
Responsibilities:
Lead QA efforts from requirements gathering to execution
Manage manual and automation QA engineers
Build automation/performance scripts with quality code
Integrate Selenium scripts with Jenkins
Maintain traceability of functional requirements to automation scripts
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Education Requirements:
Graduate degree in Computer Science, Statistics, Informatics, or Information Systems
Experience Requirements:
4-6 Years of experience in technical areas
Three to five years of hands-on experience in product development and support
Minimum of three years of leadership experience in conceptualizing requirements
Other Requirements:
Experience with SAAS and software products, preferably on AWS
Knowledge of database management
Domain knowledge in sales, revenue operations, or finance
Excellent communication and presentation skills
Responsibilities:
Sprint planning and Vision marketing
Competitive and feature analysis
Recruiting and building a professional team of technicians
Improving team productivity and quality through coaching
Managing product development, implementation, and ongoing support
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Education Requirements:
Graduate degree in Computer Science, Statistics, Informatics, or Information Systems
Experience Requirements:
4-12 Years of experience required
Five or more years of experience in a Data Engineer role
Work experience in SAAS/B2C product development is a must
Other Requirements:
Advanced SQL knowledge and experience with relational databases
Knowledge of big data tools (Hadoop, Spark, Kafka, Dremio, Druid)
Experience with AWS cloud services (EC2, EMR, RDS, Redshift, Snowflake)
Familiarity with modern ETL/ELT tools like Airbyte and Hevodata
Knowledge of Python and Java
Responsibilities:
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets for business requirements
Design scalable architecture addressing big data variety and velocity
Build infrastructure for optimal ETL from wide variety of sources
Implement database policies, procedures, and security standards
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Education Requirements:
Graduate or postgraduate degree in Computer Science, Statistics, Analytics, or Data Science
Experience Requirements:
Role available at multiple levels (Jr, Sr, Principal)
Experience deploying NLP solutions in a commercial environment
Strong experience implementing models in production
Other Requirements:
Deep understanding of machine learning and deep learning algorithms
Expertise in developing NLP/NLU algorithms and models
Programming skills in Python and R
Knowledge of tools like TensorFlow, Keras, MXNET, and H2O
Experience with chatbot technologies like Elasticsearch and Solr
Responsibilities:
Research and develop algorithms for learning from text
Extract data sets containing millions of documents
Develop NLP capabilities to improve client service speed
Summarize research and analysis for stakeholders
Apply advancements in AI and deep tech to product needs
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Education Requirements:
Any graduate with relevant degree
Experience Requirements:
4-10 Years of experience required
Four or more years of extensive full-stack experience (MEAN or similar)
At least three years of hands-on experience with Vue.js or React
At least five years of experience using Python or Java
Other Requirements:
Experience designing and building RESTful services
Experience with Kubernetes, Containers, and Microservices
Experience with cloud providers and CI/CD workflows
Knowledge of AUTH technologies such as OAuth2 and SAML
Strong experience with Git
Responsibilities:
End-to-end architecture of new products and delivery
Architect scalable and cost-effective cloud solutions
Define architecture principles and technology roadmaps
Identify and implement applications for new technologies
Lead technical initiatives and coordinate with other engineering groups
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Benefits:
Exciting opportunities in software development
Dynamic work environment
Grow your career
Make a significant impact
Tackle real-world challenges
Responsibilities:
Contribute to the commercialization of Causal AI
Tackle real-world challenges
Machine teaching
Modeling
Deployment
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Benefits:
Exciting opportunities in software development
Dynamic work environment
Grow your career
Make a significant impact
Tackle real-world challenges
Responsibilities:
Contribute to the commercialization of Causal AI
Tackle real-world challenges
Machine teaching documentation
Modeling documentation
Deployment documentation
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Benefits:
Exciting opportunities in software development
Dynamic work environment
Grow your career
Make a significant impact
Tackle real-world challenges
Responsibilities:
Contribute to the commercialization of Causal AI
Tackle real-world challenges
Machine teaching infrastructure
Modeling infrastructure
Deployment infrastructure
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Benefits:
Remote and flexible work
Work on cutting-edge AI tech
Competitive packages
Off-sites and retreats
Experience Requirements:
Experience with Kubernetes, Docker, GitHub Actions, and Terraform
Solid grasp of cloud infrastructure, version control, and CI/CD practices
Other Requirements:
Practical, hands-on mindset and team-first attitude
Problem-solving skills and attention to detail
Eagerness to learn and adapt in a fast-moving environment
Responsibilities:
Automate infrastructure with Terraform and Azure Resource Manager
Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions
Run and monitor Kubernetes clusters (AKS)
Containerize apps with Docker and Docker Compose
Work with Azure cloud services (VMs, AKS, ACR, networking, etc.)
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