Data Engineer

Talent Worx • No location specified • Full-time

$90,000

per year

Python Cloud Solutions Data Engineer Apache Spark ML products ETL pipelines

Job Description

Talworx is an emerging recruitment consulting and services firm , we are hiring for our Fintech Product based client, In this role, you will be working with a team or teams of enthusiastic members supporting our critical technology systems and guiding our business partners & end users with industry best practices, solution design, and creating long term value to our customers.

About the Role:

The Team:

As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

Key Responsibilities

Build production ready data acquisition and transformation pipelines from ideation to deployment
Being a hands-on problem solver and developer helping to extend and manage the data platforms
Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions

What We’re Looking For:

5-7 years of professional software work experience
Expertise in Python and Apache Spark
OOP Design patterns, Test-Driven Development and Enterprise System design
SQL (any variant, bonus if this is a big data variant)
Linux OS (e.g. bash toolset and other utilities)
Version control system experience with Git, GitHub, or Azure DevOps.
Problem-solving and debugging skills
Software craftsmanship, adherence to Agile principles and taking pride in writing good code
Techniques to communicate change to non-technical people

Nice to have