Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Engineering, Computer Science, Software Engineering, or related fields., Hands-on experience with complex SQL queries and proficiency in Unix/Linux environments., Coding experience in at least one modern programming language such as Python., Strong analytical, problem-solving, communication, and presentation skills, with a desire for continuous learning..

Key responsibilities:

Develop and optimize ETL pipelines using big data solutions for App Gallery operations.

Create, test, and optimize SparkSQL queries within the big data ecosystem.

Translate data into insights and share findings with project members and stakeholders.

Analyze technical issues and collaborate with a global team to support business objectives.

Job description

We are currently looking for Data Engineers to join our team based in our Huawei Turkey R&D Center.

Requirements

Qualifications & Experience

BSc or MSc degree in Computer Engineering, Computer Science, Software Engineering or a related technical field of study.
Open to work in Istanbul, Ankara, Izmir offices. (Our working style is onsite)
Handson experience on complex SQL queries.
Proficiency in UnixLinux environments.
Working experience on Big Data platforms is a plus for Junior & FG candidates.
Coding experience in at least one modern programming language (Python etc.)
Handson experience on optimize complex queries by applying clean coding principles.
Experience on performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytical thinking, problem solving, communication and presentation skills.
Strong desire for continuous learning and development.
Strong multitasking abilities and motivation in a fast paced environment.
Passion for sharing what youve learnt and confidence to ask others for help.
Good in both written and spoken English.

Responsibilities

Employ big data solutions and build the ETL pipelines that power the lifecycle of App Gallery operation from serving, search, recommendation, discovery, and personalization.
Develop, optimize and test SparkSQL queries in the big data ecosystem and analyze complex data related issues and optimize solution.
Using SparkSQL to translate data into meaningful insights and share with project members and stakeholders.
Define, develop and present executivelevel insights and reports to senior leadership to support business decision making.
Analyze and resolve technical problems.
Support and collaborate with a global App Gallery team.