Data(BigData) Senior Engineer

Short Description

As Senior Engineer, you will work on one of the world's largest social media platform which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client. Investigate, create, and implement the solutions for many technical challenges using cutting edge technologies, including building/enhancing BigData processing platform enabling work of software used by hundreds of millions of users.

Qualifications

• University degree in Computer Related Sciences or similar. 
• 5+ years' experience in Apache Airflow, Data Pipeline (SQL/SparkSQL),Spark ,Python. 
• Strong experience in Python programming skill.
• Rigor in high code quality, automated testing, and other engineering best practices 
• Strong OOP skills • Effective communication, collaboration, and interpersonal skills 
• Result oriented approach 
• Good English (oral & written) and communication skills in general 
• Experince in AWS

Job Responsibilities

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives. 
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area. 
• Analyzes scope of alternative solutions and makes decisions about area implementation based on his/her experience and technical expertise. 
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan. 
•  Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR. 
• Responsible for resolving crisis situations within his/her AOR. 
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
• Suggests technical and functional improvements to add value to the product; 
• Constantly improves his/her professional level. 
• Collaborates with other teams.