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Founding Data Engineer

Flagright LogoFlagright


Date Posted

13 Jul, 2024

Salary Offered

Not Specified

Job Type

Full Time

Experience Required

6+ years

Remote Work

Not Allowed

Stock Options

No

Vacancies

1 available


We are seeking a skilled and dedicated Data Engineer to join our dynamic team. As the first dedicated Data Engineer, you will play a pivotal role in building and maintaining our data infrastructure and pipelines, enabling seamless data integration, analysis, and reporting. This is an exciting opportunity to join a rapidly growing team and make a significant impact on our data-driven product development and business strategy.

🛠 You will

  • Design, develop, and optimize scalable data pipelines and workflows to support the collection, storage, processing, and analysis of large volumes of data - from scratch.
  • Design, build, and operate core infrastructure (e.g., APIs, services and frameworks) and tooling used by all of Flagright’s engineering, for example to annotate and automatically de-identify sensitive data
  • Implement data models and database schemas to facilitate effective data storage and retrieval.
  • Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
  • Identify and implement strategies for data governance, security, and privacy.
  • Stay up to date with industry trends and best practices in data engineering and recommend relevant technologies and tools to enhance our data infrastructure.
  • Help the Data Science team apply and generalize statistical models on large datasets

🙌 Your profile

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role, ideally within a fast-paced startup environment.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Proficiency in working with big data processing frameworks and distributed computing technologies.
  • Solid understanding of relational and NoSQL databases, data modeling, and SQL.
  • Experience with data integration and ETL tools.
  • Solid experience with streaming and high performance data processing technologies and frameworks
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
  • Excellent problem-solving skills and ability to work independently in a dynamic environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.

💯 Preferred Qualifications

  • Experience in MLOps and building tooling for data scientists, enabling efficient model deployment and monitoring.
  • Experience with cloud-based data warehousing solutions like Amazon Redshift or similar platforms, enabling scalable and performant data storage and retrieval.
  • Knowledge of data exploration and visualization tools such as Looker, facilitating intuitive and actionable insights for stakeholders.
  • Confidence in utilizing platforms like Databricks for efficient big data processing and analytics.
  • Strong familiarity with version control systems and best practices for collaborative software development.
  • Previous exposure to machine learning concepts, frameworks, and model deployment processes.
  • Experience in working within Agile development methodologies, promoting iterative and efficient project delivery.

🤗 Benefits

  • Do something meaningful; help stop human trafficking, money laundering, child labor; be a part of enabling the future of how money moves.
  • Work alongside a highly competent, top-tier team (Y Combinator, ex AWS, Zalando, Palantir).
  • Great career development opportunities in a fast-growing early-stage startup.
  • Low-bureaucracy, minimal meetings, async communications culture, international culture, flat organization.
  • We do not recommend you apply if you aren't confident in delivering results. We maintain an extremely high bar for all of our team members. We do performance evaluations honestly & fairly, not kindly.

About Flagright

Flagright Logo

AI-native AML compliance platform for fintechs & banks

Company Size: 11 - 50 People
Year Founded: 2021
Country: Singapore

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