Data Engineer

Job description

3077137
City

Fot
Career Level

Entry-Level
Relocation Assistance

No
Business

GE Oil & Gas
Business Segment

Oil & Gas Headquarters
Function

Digital Technology
Country/Territory

Hungary
Postal Code

2151
Role Summary/Purpose

As a Data Engineer in the Data & Analytics domain within the Budapest Digital Hub, you will work closely with the team and different GE businesses to create state-of-the-art data and analytics driven solutions. You will be a member of an integrated squad (data scientists, data engineers, software engineers and a product owner) to deliver successful outcomes driving efficiency and creating new revenue streams.
Essential Responsibilities

As a Data Engineer, we need You to be able to grasp the essence of large data sets. We'll look at you to integrate different data sources, work with various architectures and be key person for ETL related topics. We count on your creativity, fresh ideas and outside-in perspective to get even better, even further, even faster.

·  Responsible for defining, developing, and evolving data visualization related tasks using the latest development methods and infrastructure.

·  Support impact assessment and decision related to technology choices, design /architectural considerations and implementation strategy.

·  Collaborate with system engineers, data scientists, frontend developers and software developers to implement solutions that are aligned with our stakeholder’s and our own strategic directions.

·  Implement, document and support data engineering solutions in an agile environment.
Qualifications/Requirements

·  Experience in relational databasing (preferably Oracle, Postgres, Greenplum, Hadoop).

·  Experience with at least one programming language (preferably Java, Python, Scala). Experience in Unix/Linux environments.

·  Good English skills (written and spoken).

·  Positive attitude and team player.
Desired Characteristics

·  Degree in information technology, mathematics, physics, engineering, economics or any related fields.

·  Experience with ETL and/or orchestration tools (e.g. Talend, Informatica, Oozie, Airflow).

·  Experience in NoSQL databasing (e.g. Cassandra). Experience with Hadoop and/or Spark.

·  Experience with BI/data visualization tools (preferably Tableau, Spotfire).

·  Experience with version control (e.g. SVN, git) and continuous integration (e.g. Jenkins, TeamCity) tools

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About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.