Software Engineering Associate Advisor

Job Description

Position Overview: The Full-stack Data Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a full-stack engineer among others is Ownership & Accountability. In addition to Delivery, the full-stack engineer should have an automation first and continuous improvement mindset. He/She should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes. Full stack engineers are able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineers not institutionalized developers. Roles & Responsibilities: Minimize "meetings" to get requirements and have direct business interactions Write referenceable & modular code Design and architect the solution independently Be fluent in particular areas and have proficiency in many areas Have a passion to learn Take ownership and accountability Understands when to automate and when not to Have a desire to simplify Be entrepreneurial / business minded Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have a business impact Take risks and champion new ideas Qualifications Primary Skills: Hands on with Python / PySpark programming - 5yrs+ SQL exp - 4yr+ (NoSQL can also work, but should have SQL 3yrs atleast) Big data technologies such as Databricks Or Snowflake - 1yr+ (strong on theory) Exp working with Cloud Tech - 3yrs+ - Any (AWS preferred) DevOps practices - 1yrs+ Experience Desired: Experience with Git/SVN Experience with scripting (JavaScript, Python, R, Ruby, Perl, etc.) Experience being part of Agile teams Scrum or Kanban. Airflow Databricks / Cloud Certifications Additional Skills: Excellent troubleshooting skills Strong communication skills Fluent in BDD and TDD development methodologies Work in an agile CI/CD environment (Jenkins experience a plus) Knowledge and/or experience with Health care information domains is a plus