Demyst

đź‘Ą 51-100đź’° about 2 years agoBig DataFinancial ServicesBroadcastingData IntegrationAnalyticsInformation TechnologyFinTechSoftwaređź’Ľ Private Company
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Demyst is a cutting-edge data solutions company that processes over 900 million transactions for the world's largest financial institutions, optimizing the $5 trillion credit market by making external data accessible and actionable. With a focus on improving financial access for the underbanked, Demyst harnesses innovative data technologies to provide measurable outcomes for clients while operating as a globally distributed team.

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đź“Ť United States

🔍 Data Management

  • Bachelor's degree or higher in Computer Science, Data Engineering, or related fields. Equivalent work experience is also highly valued.
  • 5-10 years of experience in data engineering, software engineering, or client deployment roles, with at least 3 years in a leadership capacity.
  • Strong leadership skills, including the ability to mentor and motivate a team, lead through change, and drive outcomes.
  • Expertise in designing, building, and optimizing ETL/ELT data pipelines using Python, JavaScript, Golang, Scala, or similar languages.
  • Experience in managing large-scale data processing environments, including Databricks and Spark.
  • Proven experience with Apache Airflow to orchestrate data pipelines and manage workflow automation.
  • Deep knowledge of cloud services, particularly AWS (EC2/ECS, Lambda, S3), and their role in data engineering.
  • Hands-on experience with both SQL and NoSQL databases, with a deep understanding of data modeling and architecture.
  • Strong ability to collaborate with clients and cross-functional teams, delivering technical solutions that meet business needs.
  • Proven experience in unit testing, integration testing, and engineering best practices to ensure high-quality code.
  • Familiarity with agile project management tools (JIRA, Confluence, etc.) and methodologies.
  • Experience with data visualization and analytics tools such as Jupyter Lab, Metabase, Tableau.
  • Strong communicator and problem solver, comfortable working in distributed teams.

  • Lead the configuration, deployment, and maintenance of data solutions on the Demyst platform to support client use cases.
  • Supervise and mentor the local and distributed data engineering team, ensuring best practices in data architecture, pipeline development, and deployment.
  • Recruit, train, and evaluate technical talent, fostering a high-performing, collaborative team culture.
  • Contribute hands-on to coding, code reviews, and technical decision-making, ensuring scalability and performance.
  • Design, build, and optimize data pipelines, leveraging tools like Apache Airflow to automate workflows and manage large datasets effectively.
  • Work closely with clients to advise on data engineering best practices, including data cleansing, transformation, and storage strategies.
  • Implement solutions for data ingestion from various sources, ensuring the consistency, accuracy, and availability of data.
  • Lead critical client projects, managing engineering resources, project timelines, and client engagement.
  • Provide technical guidance and support for complex enterprise data integrations with third-party systems (e.g., AI platforms, data providers, decision engines).
  • Ensure compliance with data governance and security protocols when handling sensitive client data.
  • Develop and maintain documentation for solutions and business processes related to data engineering workflows.
  • Other duties as required.

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đź“Ť United States

🔍 Data management

  • Degree qualified in an appropriate discipline (technical degree or equivalent hands-on experience preferred).
  • Minimum of 3 years leading a high-performing presales, consulting or customer success team.
  • 7+ years of experience in technical business analysis or a related technical role.
  • Strong technical background with experience in solution design and implementation.
  • Proven track record in managing client relationships and delivering technical solutions.
  • Experience in shaping and delivering data use cases and providing data governance guidance.
  • Demonstrated experience operating at the executive level with clients.
  • Exceptional listening and communication skills.
  • Polished interpersonal style with high emotional intelligence and client-centricity.

  • Lead the technical requirements gathering process, working closely with clients and stakeholders.
  • Analyze complex business processes, systems, and data to design robust technical solutions.
  • Develop detailed technical documentation, including specifications and process flows.
  • Collaborate with development teams to ensure solutions meet client expectations.
  • Conduct solution testing and validation for quality assurance.
  • Oversee technical delivery of client projects, ensuring timely and budget-compliant completion.
  • Act as the primary technical point of contact for key clients, building strong relationships.
  • Ensure effective client onboarding and training on technical aspects.
  • Conduct workshops to identify challenges and provide tailored solutions.
  • Monitor client usage and provide support for maximizing product value.
  • Track performance metrics and identify opportunities for improvement.
  • Provide mentorship to junior professionals and promote best practices.
  • Facilitate communication between internal teams and clients for successful outcomes.
  • Manage and lead a team of business analysts and delivery professionals, ensuring clear communication.
  • Foster a collaborative team environment and address team conflicts.

LeadershipProject ManagementBusiness AnalysisData AnalysisProduct ManagementProject CoordinationCross-functional Team LeadershipREST APICommunication SkillsAnalytical SkillsCollaborationMentorship

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đź“Ť Australia

🔍 Data technology

  • Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master's degree preferred.
  • 1-3 years of Python programming (with Pandas experience).
  • Experience with CSV, JSON, parquet, and other common formats.
  • Data cleaning and structuring (ETL experience).
  • Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices.
  • Experience with SQL, Git, and Airflow.
  • Strong written and oral communication skills.
  • Excellent attention to detail.
  • Ability to learn and adapt quickly.

  • Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions.
  • Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives.
  • Understand and keep current with external data landscapes such as consumer, business, and property data.
  • Engage in projects involving entity detection, record linking, and data modelling projects.
  • Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects.
  • Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams.

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đź“Ť United States

🧭 Full-Time

🔍 Data technology

  • Degree qualified in an appropriate discipline (technical degree or equivalent hands-on experience preferred).
  • Minimum of 3 years leading a high-performing presales, consulting or customer success team.
  • Experience scoping or leading 6- or 7-figure enterprise deals.
  • 5+ years of experience in project management or solution engineering, primarily in banking, insurance, consulting, or fintech verticals.
  • Demonstrated ability to build trusted advisor relationships with executive clients.
  • Exceptional listening and communication skills with the ability to synthesize complex information.

  • Work alongside the sales team to engage clients, uncover their core business objectives, and provide consultative technical expertise.
  • Own the design and delivery of tailored high-level solutions that address client needs.
  • Lead technical requirements gathering and discussions with clients, presenting product capabilities.
  • Conduct workshops to identify client challenges and develop tailored solutions.
  • Analyze complex business processes and design robust technical solutions.
  • Collaborate with development teams to ensure the solutions meet client expectations.
  • Manage and lead a team of business analysts, ensuring clear communication and goal alignment.
  • Oversee technical delivery of projects, ensuring timely and quality completion.
  • Monitor client usage and offer support for maximizing product value.
  • Provide feedback and foster a positive team environment.

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đź“Ť United States

🔍 Data Technology

  • Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master's degree preferred.
  • 1-3 years of Python programming (with Pandas experience).
  • Experience with CSV, JSON, parquet, and other common formats.
  • Data cleaning and structuring (ETL experience).
  • Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices.
  • Experience with SQL, Git, and Airflow.
  • Strong written and oral communication skills.
  • Excellent attention to detail.
  • Ability to learn and adapt quickly.

  • Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions.
  • Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives.
  • Understand and keep current with external data landscapes such as consumer, business, and property data.
  • Engage in projects involving entity detection, record linking, and data modelling projects.
  • Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects.
  • Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams.

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đź“Ť India

🔍 Data Technology

  • Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master's degree preferred.
  • 1-3 years of Python programming (with Pandas experience).
  • Experience with CSV, JSON, parquet, Avro, and other common formats.
  • Data cleaning and structuring (ETL experience).
  • Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices.
  • Experience with SQL, Git, and Airflow.
  • Strong written and oral communication skills.
  • Excellent attention to detail.
  • Ability to learn and adapt quickly.
  • Willingness to align to US working hours.

  • Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions.
  • Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives.
  • Understand and keep current with external data landscapes such as consumer, business, and property data.
  • Engage in projects involving entity detection, record linking, and data modelling projects.
  • Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects.
  • Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams.

AWSPythonSQLETLGitSnowflakeSoftware ArchitectureAirflowData sciencePandasCommunication SkillsJSON

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đź“Ť Bengaluru, Karnataka, India

🔍 Data technology

  • Bachelor’s degree or relevant qualifications in Computer Science/Engineering/IT Analytics.
  • Relevant work and research experience are also welcomed.
  • 5+ years of experience in developing software in one or multiple languages such as Node.js, Python, Typescript/Javascript, Golang, and Scala.
  • Experience with Git and trunk-based development.
  • Experience in writing automated tests.
  • A good understanding of how web applications and distributed systems work.
  • Worked with a frontend framework such as React / VueJs.
  • Understanding of docker and ability to develop applications using containers.
  • Familiar with CI/CD and managing deployment pipelines.
  • Familiar with Infrastructure as code using technologies such as Terraform, and AWS Cloud formation.
  • Follow test-driven development methodology.
  • Working knowledge of AWS products such as ECS, DynamoDB, Redis, S3, IAM, Lambda, etc.
  • Experience using collaboration tools such as JIRA and Confluence.
  • Collaborative attitude, great communicator, and problem solver.
  • Understands globally distributed teams and asynchronous communication methods.

  • Develop and maintain codebases for big-name clients in line with agreed deadlines.
  • Ensure the coding standards are followed and maintained (including code reviews).
  • Be able and willing to learn new languages and concepts.
  • Work independently and always looking to improve the code base and development practices.
  • Become the subject matter expert for the platforms developed.
  • Work with clients and internal stakeholders to understand requirements.
  • Be a team player and always willing to help other team members when required.
  • Focus on the outcome as opposed to the problems.
  • Train and mentor junior team members.

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đź“Ť India

🔍 Data management

  • Bachelor’s degree or relevant qualifications in Computer Science/Engineering.
  • 5+ years of professional software development experience.
  • Working knowledge of different programming languages such as Javascript (React), Ruby, Python, etc.
  • Experience with consumption of web services (JSON, REST, XML/SOAP).
  • Experience with software engineering and version control using Git and GitHub.
  • Experience with automated testing (unit + integration tests).
  • Motivated and/or experienced in working on world-class architecture setup for a global company and its network to resolve data needs.
  • Experience with reviewing system design and architecture documentation and preparing materials addressing security controls.
  • A good understanding of how web applications and distributed systems work.
  • Understanding of the cloud architecture and components.
  • Experience using collaboration tools such as Jira and Confluence.
  • Collaborative attitude, great communicator, and problem solver.
  • Understanding of globally distributed teams and asynchronous communication methods.

  • Architect, design, and implement services at scale.
  • Implement and configure custom solutions and deploy custom solutions for client use cases to production.
  • Drive continuous improvement of Demyst’s next-generation privacy technology for compliance with existing and emerging privacy regulations like CCPA, GDPR, etc.
  • Collaborate with internal and external stakeholders, such as product managers, executives, and department heads, to understand their requirements and translate them into actionable engineering plans.
  • Communicate project status, key milestones, and technical challenges to stakeholders, ensuring transparency and alignment.
  • Stay up-to-date with industry trends and emerging technologies.
  • Own the development and integration of external data pipelines, ensuring that pipelines are performant and highly available.
  • Mentor and coach team members, fostering their professional growth and promoting a culture of continuous learning.
  • Work independently and proactively identify opportunities to improve the code base and development practices.
  • Be a team player and always willing to help other team members when required.

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đź“Ť Australia

🧭 Full-Time

🔍 Data management

  • Bachelor’s degree or relevant qualifications in Computer Science/Engineering.
  • 5+ years of professional software development experience.
  • Working knowledge of different programming languages such as Javascript (React), Ruby, Python, etc.
  • Experience with consumption of web services (JSON, REST, XML/SOAP).
  • Experience with software engineering and version control using Git and GitHub.
  • Experience with automated testing (unit + integration tests).
  • A good understanding of how web applications and distributed systems work.
  • Understanding of the cloud architecture and components.
  • Experience using collaboration tools such as Jira and Confluence.
  • Collaborative attitude, great communicator, and problem solver.
  • Understanding of globally distributed teams and asynchronous communication methods.

  • Architect, design, and implement services at scale.
  • Implement and configure custom solutions and deploy custom solutions for client use cases to production.
  • Drive continuous improvement of Demyst’s next-generation privacy technology for compliance with existing and emerging privacy regulations like CCPA, GDPR, etc.
  • Collaborate with internal and external stakeholders, such as product managers, executives, and department heads, to understand their requirements and translate them into actionable engineering plans.
  • Communicate project status, key milestones, and technical challenges to stakeholders, ensuring transparency and alignment.
  • Own the development and integration of external data pipelines, ensuring that pipelines are performant and highly available.
  • Mentor and coach team members, fostering their professional growth and promoting a culture of continuous learning.
  • Work independently and proactively identify opportunities to improve the code base and development practices.
  • Be a team player and always willing to help other team members when required.

PythonSoftware DevelopmentGitJavascriptRubyJiraReactCollaboration

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đź“Ť India

🔍 Data technology

  • Degree in IT, Computer Science, Data Science, Software Engineering, or a related field.
  • Experience in data science and data-centric solutions.
  • Significant experience developing requirements and product specifications for new or existing applications, integrations, or solutions.
  • 5 or more years of experience as a BA with a technical focus.
  • Exceptional knowledge of usability, application, and operational performance considerations.
  • Forward-thinking communication skills to assist with the development of documentation for software solutions.
  • Impressive interpersonal skills to work with and contribute to a team environment.
  • Technical background and skillset to translate requirements and project manage delivery components.
  • Deep expertise in waterfall and agile deliveries.
  • Product management and backlog grooming experience.
  • Exceptional stakeholder management and ability to negotiate effective solutions.
  • Ability to work in a remote / distributed workplace.

  • Elicit requirements by interacting with stakeholders (client and internal), identify opportunities for improvement, and translate requirements into designs.
  • Solve complex problems and lead process modelling.
  • Conduct user needs analysis, offer advice on process improvements.
  • Design and position solutions in consultation with Lead engineer to best deliver value to stakeholders.
  • Identify requirements, define use cases, and understand data sources that support client data use cases.
  • Provide guidance to peers, mentoring, and leading others in complex problem solving.
  • Lead client testing efforts. Plan the development of client test use cases and solution execution.
  • Lead triaging process of issues relating to the delivered solution raised by client and internal team.
  • Organise and facilitate agile ceremonies as required by team.
  • Create, maintain, and execute JIRA plans to support delivery.
  • Identify, triage and communicate risks to internal and stakeholder related to delivery.

Project ManagementAgileData AnalysisProduct ManagementSCRUMJiraData scienceCommunication SkillsAgile methodologiesMentorship

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