Data Engineer

SaaS-based Global Employment Platform enabling companies to expand into 180+ countries without entity setup
Data
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

G-P is revolutionizing global employment through their SaaS-based Global Employment Platform™, enabling companies to expand into over 180 countries without the complexity of entity setup. As a Data Engineer, you'll join a diverse, remote-first team working on building the world's top-rated global Employment Platform. The role spans across US, Europe, and India, embracing DevOps culture where cross-functional teams collaborate towards common goals.

You'll be instrumental in designing and developing high-performing cloud-based software products using modern frameworks and Agile methodologies. The position offers hands-on experience with data and analytics applications, working with various databases, ETL processes, and modern data platforms. You'll be involved in everything from front-end development to back-end logic, handling both structured and unstructured data.

The ideal candidate should have strong expertise in Python programming, extensive SQL knowledge, and experience with various database systems. Knowledge of modern data platforms, ML/AI workloads, and CICD pipelines is crucial. This role offers the opportunity to work on cutting-edge technology while making a global impact, enabling businesses to expand internationally and create opportunities worldwide.

G-P offers competitive compensation and benefits, promoting a diverse, equitable, and inclusive culture. They provide the flexibility and autonomy needed for innovative work, supporting personal growth and career development. This is an excellent opportunity for someone passionate about data engineering who wants to contribute to a platform that breaks down barriers to global business.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Design and develop cloud platform across full stack
  • Develop solutions for ETL and Streaming data
  • Design and develop reusable libraries
  • Enhance processes in Data Ecosystem
  • Write unit and integration tests

Requirements For Data Engineer

Python
MySQL
PostgreSQL
  • BS in Computer Science or equivalent
  • Experience in developing data and analytics applications in distributed teams
  • Experience with Python programming
  • Strong SQL knowledge and experience with MySQL, PostgreSQL
  • ETL knowledge and experience
  • Knowledge of data platforms (Databricks, Snowflake) or cloud data warehouses
  • Knowledge of data catalog and MDM tooling
  • CICD pipeline experience
  • Knowledge of ML/AI workloads implementation
  • Excellent analytical and troubleshooting skills
  • Excellent communication skills
  • Excellent English proficiency

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Competitive compensation
  • Career development opportunities
  • Flexible work arrangements
  • Remote work options

Interested in this job?

Jobs Related To G-P Data Engineer

Business Intelligence Engineer, DSP Analytics

Business Intelligence Engineer role at Amazon's DSP Analytics team, focusing on data solutions for delivery service partners.

Business Intelligence Engineer, Ads Finance

Business Intelligence Engineer role at Amazon focusing on Advertising business data analysis and insights, offering competitive salary and benefits.

Business Intelligence Engineer, Alexa Business Telemetry & Decision Science

Business Intelligence Engineer role at Amazon's Alexa team, focusing on data analysis, metrics development, and customer behavior insights.

Business Intelligence Engineer, IB Supply Chain Analytics

Business Intelligence Engineer role at Amazon focusing on supply chain analytics and logistics optimization, requiring 3+ years of data analysis experience.

Business Intelligence Engineer, Worldwide Last Mile Design

Business Intelligence Engineer role at Amazon focusing on Last Mile delivery optimization through data analytics and BI solutions.