PH - Engineering Consultant (Data Engineering)

This role is under Immediate Hiring. Working at Thinking Machines 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. Role Description Data science ain’t data science without data. As an Engineering Consultant (Data Engineering), 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 engineering tasks that may come up in any department. Since the tech 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 We’re looking for someone who has: 3+ years of work experience in a data engineering or software engineering role. Proficiency in Python programming language, SQL, and Airflow — Postgres is our favorite flavor of RDBMS, but you have to be ready to use tools such as dbt, BigQuery, and Snowflake. You must be very comfortable with writing and explaining code. Experience managing various cloud environments — Especially IaaS such as Amazon Web Services (AWS) and Google Cloud Platform (GCP). Bonus points if you love MS Azure! Experience working with Google and/or Azure stack — Big points if you’re comfortable with BigQuery, Dataflow, TensorFlow, Azure Data Factory, Databricks and other similar tools. More bonus points if you know how to handle data that doesn’t fit your machine’s RAM! Security-conscious…