DevJobs

ML/DataOps Engineer- Hybrid

Overview
Skills
  • Python Python ꞏ 3y
  • SQL SQL ꞏ 3y
  • RDBMS RDBMS ꞏ 3y
  • Azure Azure ꞏ 3y
  • Data infrastructure ꞏ 3y
  • Data modeling ꞏ 3y
  • ETL pipeline design ꞏ 3y
  • MLOps ꞏ 3y
  • Non-relational databases ꞏ 3y
  • Databricks
  • PySpark

Don't Miss Out On Your Next Big Career Opportunity🔔

Senior Data Engineer for fintech start up!!!


*Direct Employment Position


What you will do:

Design & develop the data pipeline infrastructure using cloud infrastructure based on Azure from conception to deployment.

Drive the development and enhancement of the Data Lakehouse while ensuring seamless integration with the data warehouse.

Define the company’s data engineering roadmap and make sure it’s implemented using cutting-edge technologies

Collaborate with various stakeholders across the company such as data scientists, analysts, engineers, and product managers


Requirements:

3+ years of experience working as a hands-on Data Engineer

Proficiency with Python and SQL

Experience with cloud environments (Azure preferred) and big data technologies

Experience in MLOps 

Experience with ETL pipeline design, implementation, and maintenance

Experience working with relational and non-relational databases and data modeling

Experience designing, deploying, and maintaining large-scale data infrastructure.

Fast and self-learner with the ability to work independently

Excellent communication skills in English

B .Sc. in Computer Science, Engineering, or equivalent field

Databricks and PySpark – Big advantage


Send your cv to [email protected]

JB-2543

G-STAT