Data Engineer  

We are a data science consultancy seeking a data engineer to join our small team of data scientists, designers and engineers.

Data science ain’t data science without data. As a data engineer, you will collect and consolidate data from various sources, secure them and transform them into useful forms so that you and your team can work data science magic on them. From a security perspective, we work with many confidential datasets, so make sure that Eve and Trudy don't get their grubby paws on them.

You will be responsible for building systems for collecting, transforming, and storing data. This can range from writing a short script that periodically calls an API to creating a website scraper to architecting and building a complete data collection and data warehousing system.

On a normal day, you might be architecting an analytics platform for a SaaS company, debugging a data ETL pipeline for an international NGO, and optimizing then deploying a machine learning model to TensorFlow mobile.

You'll be expected to help out on any tasks that may come up in any department. Since the startup space can get crazy, we are looking for someone who is up for any kind of challenge and has the initiative to seek out ways to be useful. We move fast, and we expect you to keep up!

Requirements

• Enjoys coding - You must be very comfortable with writing and explaining code.
• Security paranoid - Handling client data is part of our daily job. We have security guidelines and protocols in place but a single blunder can cost huge damage.
• Makes things fast - Time is our most precious resource. You can always throw money at things to make them faster but that’s not very engineer-y.
• Communication skills - You’ll be explaining things during most conversations either internal or external. Therefore, you need to know how to phrase yourself to be understable depending on who you’re talking to. Documenting your code is a given, and you also need to write technical documentation in the form of manuals, proposals, guidelines, etc.
• Initiative - Sometimes, the team won’t know that they need you. You need to be aware about the projects people are working on and support when applicable. You don’t need to know how to use/fix the printer.

Qualifications and Competencies

• A minimum of two years work experience in a relevant software engineering role
• Must be proficient in at least one programming language (preferably Python). Knowing more is a bonus. Knowing too many but all poorly will make our eyes roll.
• More bonus points if you know how to handle data that doesn’t fit your machine’s RAM.
• SQL proficiency required (Postgres is our favorite flavor of RDBMS). +1 if you've deployed or worked with Redshift or Bigquery.
• We don’t manage a fleet of servers but you should know how to get around and manage various environments (especially IaaS such as AWS and Google Cloud). You’ll pique our interest if you love MS Azure.
• We do a huge amount of work on the Google stack. Big points if you’re comfortable with BigQuery, Dataflow, TensorFlow, and all that.