About Us
Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
About the role:
With our in-house engineering team spanning across US, Europe and India we are building the world’s top-rated global Employment Platform. We are strong advocates of DevOps culture where product managers, engineers, QA, IT operations and InfoSec work together towards a common goal, enabling the fast flow of planned work into production, while achieving world-class stability, reliability, availability and security.
What you will do:
- Design and develop our best-in-class cloud platform, working on all parts of the code stack from front-end, REST and asynchronous APIs, back-end application logic, SQL/NoSQL databases and integrations with external systems
- Develop solutions across the data and analytics stack from ETL and Streaming data
- Design and develop reusable libraries
- Enhance strong processes in Data Ecosystem
- Write unit and integration tests
What we're looking for:
- Extensive experience in developing data and analytics applications in geographically distributed teams
- Hands-on experience in using modern architectures and frameworks, structured, semi-structured and unstructured data, and programming with Python
- Hands-on SQL knowledge and experience with relational databases such as MySQL, PostgreSQL, and others
- Hands-on ETL knowledge and experience
- Knowledge of commercial data platforms (Databricks, Snowflake) or cloud data warehouses (Redshift, BigQuery)
- Knowledge of data catalog and MDM tooling (Atlan, Alation, Informatica, Collibra)
- CICD pipeline for continuous deployment (CloudFormation template)
- Knowledge of how machine learning / A.I. workloads are implemented in batch and streaming, including the preparing of datasets, training models, and using pre-trained models
- Exposure to software engineering processes that can be applied to Data Ecosystems
- Excellent analytical and troubleshooting skills
- Excellent communication skills
- Excellent English (both verbal and written)
- BS. in Computer Science or equivalent
#LI-AK1
We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.
G-P. Global Made Possible.
G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.
G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at [email protected].
.jpg)
