Position: Lead Python Developer
Company: GlobalLogic
Experience required: 5y
English level: upper

Job Description
Experience in software development and design for more than 3 years;

Excellent knowledge and experience in Python (more than 3 years);

Good knowledge in Computer Science and Computing Theory:

Paradigm & Principles (e.g. OOP, SOLID);

Architectural, Distributed and Design Patterns;

Database theory (RDBMS, NoSQL);

Code testing practices;

Security patterns;

Understanding of network interactions, protocols, conventions (REST);

Commercial experience with:

REST APIs, SOAP, GraphQl, etc

Postman

RDBMS (e.g.PostgreSQL, OracleDB, MSSQL, MySQL and others)

Queues (e.g. Kafka, Google Pubsub, Amazon Kinesis, Amazon SQS) 

Version control systems (GIT);

Docker;

Continuous Integration tools (e.g. Jenkins);

Build automation tools (Gradle);

Experience with:

Creation design of applications, platforms, microservices solutions;

Troubleshooting, profiling and debugging of applications;

Different delivery methodologies (e.g. SCRUM, Agile, Kanban);

Code Review process;

Refactoring;

Upper-Intermediate English;

 
Job Responsibilities
Taking part in the decision-making process in design architecture, solution development, architectural and code review;

Proactive position in solution development, processes improvements;

Design and implement a set of various types of tests (unit, integration, functional, etc);

Working in an international distributed team;

Communicate with PM, PO, other engineers, architects, QA and other colleagues and stakeholders;

Participation on delivering the product roadmap, plannings, creation of estimations;

To use high coding standards, development best practices and write highly testable and performant code.

 

Department/Project Description

Airbyte is an open source data portability tool. It allows users to move their data across APIs, databases, data warehouses, and data lakes in all directions. 

Most companies have data spread across different services and systems and the volume of this data is growing. In order to make the best decisions, companies are looking for a way to consolidate this data into the warehouse or date lake of their choice and then ask data scientists and business analysts to extract insights in order to build a competitive edge.

There are existing cloud solutions today with Fivetran and StitchData but both fall short in the number of connectors that they provide. This results in companies having to build and maintain a secondary system internally to accommodate missing connectors. Also both Fivetran and StitchData are cloud solutions which means that many companies can’t work with these services because they cannot let data leave their premises for security reasons.

Airbyte solves the following problems:

Provide an open source solution so organizations can contribute the connectors that are missing thus addressing all connectors

Provide a self hosted solution to solve the security problem

Disrupt existing pricing models that are most of the time based on volume.

 

Keyskills - Must Have
Python Git ETL Docker REST