Python Developer - Data Engineering

Job not on LinkedIn

April 10

Apply Now

Receive Emails with Similar Jobs

TalentNeuron

WebsiteLinkedInAll Job Openings

HR Tech • Enterprise • SaaS

TalentNeuron is a company that provides data-driven workforce intelligence solutions to help organizations optimize their talent strategies. By offering access to global market data through APIs and data feeds, and providing strategic consulting, TalentNeuron enables businesses to make informed decisions about talent acquisition, location strategy, diversity, and remote work trends. With a platform that delivers actionable insights in real time, TalentNeuron supports companies in staying ahead in the evolving global talent market. They serve a wide range of clients, including 60% of the Fortune 100, helping them to build end-to-end workforce transformation solutions. With its comprehensive database covering over 3 trillion data points and advanced AI/ML models, TalentNeuron is a leading partner for organizations seeking to future-proof their workforce strategies.

201 - 500 employees

👥 HR Tech

🏢 Enterprise

☁️ SaaS

📋 Description

• TalentNeuron is the world's leading provider of labor market analytics, delivering high-fidelity talent data on an unmatched global scale. • Provides actionable talent insight covering countries collectively representing more than 90% of the world's GDP. • Invests in machine learning and artificial intelligence, normalizing structured and unstructured data points. • Delivers critical talent insights in support of workforce planning and strategic skills analysis. • The role involves designing, building, and maintaining data pipelines, ETL processes, and data warehouses. • Requires excellent coding skills in Python and experience with REST API design and development.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • At least 3 years of professional experience as a Python developer focused on data engineering. • Experience designing and building data pipelines and ETL processes using Python libraries such as pandas, NumPy, and SciPy. • Experience working with databases and data warehousing concepts, including data modeling, schema design, and SQL. • Strong coding skills in Python, with a focus on code quality, maintainability, and performance. • Experience designing, developing, and maintaining RESTful APIs using Python frameworks like FastAPI, Flask, or Django. • Strong problem-solving skills and the ability to work independently and in a team environment. • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

🏖️ Benefits

• Equitable employment consideration for all applicants.