Senior Data Engineer | Blockchain Transaction Monitoring and Intelligence Soluti

  • Date: 20 May 2023
  • Location: NEW YORK
  • Work Type: Permanent / Full Time

The company provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.

The company is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
�� What will you do?
      • Create and maintain optimal data pipeline architecture for our workloads. This includes building highly resilient architecture for both streaming and batch ETL processes. 
      • Have a good understanding of data structures used by public blockchains to store data. A significant portion of our data pipelines parse blockchain data and store them in our data warehouses.
      • Design and build data warehouses with efficiency and reliability to meet business data needs.
      •  Assemble large, complex data sets that meet functional / non-functional business requirements. This includes expanding the scope of our data-mining efforts by building data pipelines to crawl data from the dark-web, open-web, third party data sources.
      • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organisation.
      • Works closely with a team of frontend and backend engineers, product managers, and analysts to render data on to our products. 
      • Implement algorithms to transform raw data into useful information.
      • Build, Manage and Deploy AI / ML workflows.
�� What are we looking for?
      • 3+ years of relevant experience as a Big Data Engineer.
      •  Experience with a breadth of tools and data processing paradigms - from transactional data, to event streams and batch processing which are robust and scalable using open-source tools such as Apache Airflow, Apache Beam, Apache Spark, Apache Kafka/Pubsub. 
      • Experience in building and maintaining highly resilient and available OLAP and OLTP data warehouses.
      • Strong Software Engineering background in at least one modern programming language.
      • Experience using data visualisation tools(Redash, Tableau).
      • Experience using cloud platforms (GCP or AWS) including Kubernetes and Docker is a plus.
      • Evangelize data engineering best practices within and beyond the team.
      • Analytical mindset with a business acumen.
      • Exceptional interpersonal and communication skills.
      • Self-starter who thrives under a high level of autonomy.
�� What process do we follow? (<2 weeks)
      • Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome.
      • Screening: We will screen your profile and get back with a decision within a week.
      • Interviews: We will have two rounds of interviews.
      • Round one (30mins) will focus on getting to know each other better and identifying if this could work for both of us.
      • Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build  systems to solve a problem we will introduce on call. 
      • Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role.
      • Offer Rollout: If all looks well, we will open a bottle of champagne.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.  

We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with the company.

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