Data Engineer (AG-IM Data)

Posted 18 Hours Ago
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İstanbul, Şişli, İstanbul
Junior
Information Technology • Software
The Role
As a Data Engineer, you will build ETL pipelines to support App Gallery operations, optimize HiveQL queries, analyze data issues, and provide insights to stakeholders. The role requires collaboration with a global team and involves technical problem-solving and reporting to senior leadership.
Summary Generated by Built In

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)
  • Hands-on experience on complex SQL queries and experience working with relational databases.
  • Proficiency in Unix/Linux environments.
  • Working experience on Big Data platforms is a plus for Junior & FG candidates, for Senior this is a must. (Experience in Hadoop ecosystem including the ability to interact with data through Hive, Map Reduce, Spark)
  • Coding experience in at least one modern programming language (Python etc.)
  • Hands-on 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 multi-tasking abilities and motivation in a fast paced environment.
  • Passion for sharing what you've 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 HiveQL queries in the big data ecosystem and analyze complex data related issues and optimize solution.
  • Using HiveQL, PySpark to translate data into meaningful insights and share with project members and stakeholders.
  • Define, develop and present executive-level 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.

Top Skills

Python
The Company
Bellevue, WA
168,766 Employees
On-site Workplace

What We Do

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

House Rules
This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions.
To facilitate dialogue, please follow these rules:
- Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations.
- Repeated violations of any of the above will be removed and users may be blocked.
- Huawei does not necessarily endorse the information shared by members.
- Please be familiar with and follow LinkedIn's User Agreement.
- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.

Please visit the below portals for career or customer service queries.
Career page: http://bit.ly/2rdljD7
Customer service: http://bit.ly/2a4mXNY

Thank you for visiting us & we hope you enjoy your time on our page.

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