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Demyst

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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Jobs at this company:

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🔥 Enterprise Sales Director, North America
Posted 2024-11-07

đź“Ť United States

🧭 Full-Time

🔍 Data technology

  • Natural hunter with 5+ years enterprise sales experience (SaaS, Software, or Data Management preferred).
  • Experience selling into Banking, Insurance, and FinTech industries.
  • Proven track record of meeting/exceeding 7-figure sales quotas.
  • Strong technical proficiency to understand Demyst data architecture and workflows.
  • Proficiency in stakeholder management across client organizations.

  • Responsible for new logo acquisition within North America.
  • Drive new and incremental ARR sales and retention.
  • Target Tier 1 Banks & Insurers with a focus on digital transformation.
  • Partner with internal technical experts to lead sales strategies.
  • Spend significant time onsite with clients to build relationships and understand their needs.

LeadershipProject ManagementBusiness DevelopmentData AnalysisPeople ManagementProject CoordinationCross-functional Team LeadershipStrategyBusiness developmentData analysisCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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🔥 Lead, Data Engineer (Client Deployment) (United States)
Posted 2024-10-15

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.

AWSLeadershipProject ManagementPythonSQLAgileApache AirflowETLJavascriptJavaScriptJiraTableauStrategyAirflowData engineeringGolangNosqlSpark

Posted 2024-10-15
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🔥 Principal Technical Business Analyst
Posted 2024-10-15

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 LeadershipData analysisREST APICommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-15
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🔥 Data Engineer (Australia)
Posted 2024-10-15

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.

AWSPythonSQLETLGitSnowflakeSoftware ArchitectureAirflowData sciencePandasCommunication Skills

Posted 2024-10-15
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🔥 Senior Sales Engineer
Posted 2024-10-12

đź“Ť United States

🧭 Full-Time

🔍 Data technology

  • Degree qualified in a technical discipline or equivalent hands-on experience.
  • Minimum of 5 years delivering outcomes in project management or solution engineering.
  • Experience in scoping or leading enterprise deals, preferably 6- or 7-figure projects.
  • Strong experience in data governance, compliance, and adoption of data platforms.
  • Ability to operate at the executive level and build trusted advisor relationships.
  • Exceptional communication skills, with the ability to simplify complex concepts.
  • Demonstrated leadership and interpersonal skills with high emotional intelligence.

  • Work alongside the sales team to engage clients and uncover core business objectives.
  • Serve as the technical architect, designing tailored solutions that align with platform capabilities.
  • Lead technical requirements gathering, closely collaborating with clients and stakeholders.
  • Conduct workshops to identify challenges and provide tailored solutions.
  • Analyze business processes and design robust technical solutions.
  • Develop technical documentation including specifications and architecture.
  • Collaborate with development teams to ensure solutions meet expectations.
  • Manage a team of business analysts and delivery professionals.
  • Oversee technical delivery of projects, ensuring they are on time and within budget.
  • Monitor client onboarding, usage, and satisfaction, providing ongoing support.

LeadershipProject ManagementData AnalysisPeople ManagementCross-functional Team LeadershipData analysisCommunication SkillsAnalytical SkillsCollaborationDocumentation

Posted 2024-10-12
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🔥 Lead, Data Engineer (Client Deployment) (United States)
Posted 2024-10-01

đź“Ť United States

🧭 Full-Time

🔍 Data Engineering

  • 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.

AWSLeadershipProject ManagementPythonSQLAgileApache AirflowETLJavascriptJavaScriptJiraTableauStrategyAirflowData engineeringGolangNosqlSpark

Posted 2024-10-01
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🔥 Data Engineer (United States)
Posted 2024-09-20

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.

AWSPythonSQLETLGitSnowflakeSoftware ArchitectureAirflowPandasCommunication Skills

Posted 2024-09-20
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🔥 Data Engineer (Bengaluru)
Posted 2024-09-20

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 Skills

Posted 2024-09-20
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🔥 Senior Full Stack Developer (Bengaluru)
Posted 2024-09-20

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.

AWSDockerNode.jsPythonDynamoDBGitJavascriptTypeScriptJavaScriptJiraGolangRedisReactCollaborationCI/CDTerraform

Posted 2024-09-20
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🔥 Operations Manager (Bengaluru)
Posted 2024-09-20

đź“Ť India

🔍 Data technology

  • Bachelor’s degree in program management, business or public administration, social sciences, finance/accounting, or related fields.
  • Minimum of four (4) years of recent project management experience.
  • Strong business and commercial decision-making skills.
  • Experience in process design and implementation.
  • Ability to thrive in a dynamic, fast-paced environment while managing multiple priorities.
  • Exceptional organizational skills and meticulous attention to detail.
  • Excellent written and oral communication skills.

  • Build and execute operational systems: develop and refine operational processes, identifying opportunities for improvement and implementing necessary revisions.
  • Issue resolution: identify and track issues, remove barriers, and resolve medium-complexity problems involving stakeholders, escalating when necessary.
  • Process improvement: identify trends and assess opportunities for process and execution improvement.
  • Stakeholder communication and clarity: provide clarity to the team and stakeholders on various situations.
  • Cross-functional collaboration: collaborate with all functions to ensure seamless business execution, reinforce positive morale, and uphold company values.
  • Metrics and reporting: oversee and report on weekly, monthly, quarterly, and annual metrics related to projects within your operational scope.
  • Risk management and strategic solutions: anticipate and monitor operational and tactical risks, providing strategic solutions to mitigate them.
  • Long-term planning and project management: contribute to long-term planning, manage project status reporting, and implement change control processes.
  • Special projects and collaboration: work closely with the VP, Operations on special planning and departmental projects, ensuring seamless execution.

LeadershipProject ManagementData AnalysisPeople ManagementProject CoordinationCross-functional Team LeadershipOperations ManagementData analysisCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-09-20
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