PH - Data Engineer

Thinking Machines is a technology consultancy building AI & data platforms to solve high-impact problems for our clients. Our vision is a future where data-driven decision-making is a norm and where AI is used to support humans in making excellent decisions. To do that, we create data cultures, one organization at a time.

We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people and that the best way to drive inclusive innovation is to start with a diverse team.

Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide personalized coaching, growth opportunities, and a great working environment to get them to world-class.

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

We’re looking for someone who meets the following profile:

• Strong 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 understandable 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.

• 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. Build things fast to find out how (or how not) to solve a problem.

• 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.
  
  

• 3+ years of work experience in a data engineering role . Has demonstrated experience mentoring junior engineers with aspirations to grow into a people management or project leadership role.

• Must be proficient in Python programming language

• SQL proficiency required (Postgres is our favorite flavor of RDBMS).

• We don’t manage a fleet of servers but you should know how to get around and manage various cloud environments , especially IaaS such as Amazon Web Services (AWS)  and Google Cloud Platform (GCP) .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 , etc.

• More bonus points if you know how to handle data that doesn’t fit your machine’s RAM

We offer the following compensation and benefits:

• Competitive salary — the compensation amount is positively correlated with the difficulty of the job, relevant experience, fit, and skill factors.

• Hybrid Set-Up — Hybrid-remote means employees are required to come in an average of two days a week for client engagements and internal in-person days intended for collaboration, socials, and strategic planning.

• Individual professional development budget — an annual budget for conferences, training courses, books, and software is available to sharpen your skills and build new ones to help you grow in your role.

• Full health benefits — generous health insurance package upon hiring, with options to include dependents.

• Apprenticeship and yearly performance reviews with the leadership team to discuss career and personal goals, job progress and any questions and concerns.