Job title:	Data Engineer
Job type:	Contract
Emp type:	Full-time
Industry:	IT
Pay interval:	Hourly
Pay rate:	Negotiable
Job published:	19/11/2019
Job ID:	32142
Contact name:	Enoch George
Contact email:	enoch.george@datapoints.co.nz

Job Description

11/20/2019 Data Engineer at Flowcast | AngelList

https://angel.co/company/flowcastlab/jobs/635613-data-engineer 1/4

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Data Engineer $100k – $120k • No equity

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We started Flowcast with the mission to help the underserved market gain access to capital. We have a thesis that AI & ML can harness the trove of data trapped in databases of traders, banks, logistics companies and others that will - in combination with alternative data sources - be algorithmically predictive in guiding risk management to unlock SME finance.

This is an outstanding opportunity to join a rapidly growing, series A, remote- friendly fintech with a dynamic team. You will be building the future of trade finance and SME lending using cutting-edge AI/ML techniques.

We seek an ambitious and self-motivated Data Engineer to join our core engineering team to keep up with customer demand. The ideal teammate is an experienced professional looking to take ownership of critical components of our proprietary machine learning platform.

As a Data Engineer, you will be responsible for:

• Designing and implementing highly-scalable data pipelines for real time prediction, streaming and batch processing. • Working with a large amount of structured and unstructured datasets. • Working along side other engineers, data scientists, and product teams to build AI decision engines for financial institutions and Fortune 500

Flowcast Power Smarter Credit Decisions with AI

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11/20/2019 Data Engineer at Flowcast | AngelList

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corporations. • Enabling data scientists to iterate quickly and deploy machine learning models into production. • Highlighting and reviewing data anomalies and quality issues. • Performing explorative analysis on external and public data sources to pull them into our ecosystem. • Following agile processes with a focus on delivering production-ready testable code in small iterations.

You should be:

• Curious to learn and assimilate information quickly, enthusiastic to share and teach others. • Keenly analytical and neurotic about problem-solving. • An outstanding communicator with sound interpersonal skills. • Strongly interested in technology and continuous learning. • Able to work autonomously and resourcefully in a fast-paced startup environment.

You should have:

• 3+ years of professional data engineering experience in data-intensive environments. • Familiarity with concepts in data mining, data engineering, and backend API development. • Advanced skills and experience using Python, SQL, Bash and other scripting/compiled languages. • Demonstrated knowledge of data workflow systems such as Apache Airflow. • Demonstrated knowledge of distributed computing frameworks such as Apache Spark. • Demonstrated exposure to the Python machine learning ecosystem, including Pandas, Flask and ETL. • Experience with or exposure to Amazon Web Services (AWS), Google Cloud Platform (GCP), Git, Jenkins and Docker based continuous-integration & deployment pipelines. • Proven track record of collaboration with a variety of decision makers to drive impact. • Knowledge of Business Intelligence Tools such as Tableau. • Experience in the fintech industry a plus.

11/20/2019 Data Engineer at Flowcast | AngelList

https://angel.co/company/flowcastlab/jobs/635613-data-engineer 3/4

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Location

Remote • San Francisco

Hires remotely

Everywhere

Job type

Full-time

Visa sponsorship

Not available

Experience