Python Developer - Remote | WFH

Join our dynamic team at LookFar Labs! We're on a mission to revolutionize the intersection of patents, finance, and market data through innovative data science solutions. Currently, our cutting-edge SaaS and DaaS platforms cater to corporate IP departments and the defense sector. But that's just the beginning - we're gearing up to launch a groundbreaking 2.0 version of our platform aimed at financial institutions.

Why It's Thrilling:
We're embarking on an exhilarating journey to build our 2.0 SaaS platform from scratch. Picture this: a brand-new front end, an advanced back end system, and intricate data science models harnessing a multitude of data sources. We're talking about substantial processing of massive datasets, real-time operations, and entity resolution in a scalable, distributed computing environment.

Your Role:
As a versatile Software Engineer, you'll be at the forefront of this revolution. Your playground? Leading a major project focused on developing our platform's v2.0. But it's not just about writing top-notch code; it's about envisioning the big picture and making a lasting impact. Every role here is a leadership role, and everyone gets to own and drive at least one major project.

Primary Responsibilities:

Develop scalable code and endpoints using Python, SQL, and AWS tools, with a keen eye on processing large datasets.
Architect distributed computing solutions leveraging AWS resources and CI/CD best practices. Experience with technologies like OpenSearch, FastAPI, Docker, Airflow, and Terraform is a plus.
Understand the business implications of your project and ensure alignment with customer needs.
Collaborate with the data science and data engineering teams to design and implement data models and ETL pipelines.
Think creatively, anticipate challenges, and prioritize a customer-centric approach in problem-solving.
Document processes and methodologies comprehensively for seamless collaboration.
Our Tech Stack:
Python, PySpark, React, Kubernetes, EMR, Spark, Elasticsearch, Postgres, FastAPI, Terraform, AWS (S3, Code Commit, Code Build, Code Deploy, EC2, EMR, Glue, OpenSearch, etc.), DataBricks, Docker, Spacy, Scikit learn, Openpyxl, Streamlit, Watchdog, sklearn, seaborn, nltk, matplotlib, pandas, SQLAlchemy, and more.

Experience Required:

Bachelor's degree in a relevant technical field.
3-5 years of hands-on experience with Python, preferably with exposure to Pyspark.
Proficiency (3-5 years) in the AWS ecosystem and writing complex SQL queries.
Familiarity with data engineering concepts; experience with Airflow, Terraform, or graphDBs is advantageous.
Knowledge of ML fundamentals and software best practices.
Strong project management skills and excellent communication abilities.
Employment Type: Full-Time
Salary: $ 120,000.00 Per Year