![Incubeta](https://media.trabajo.org/img/noimg.jpg)
Data Engineer
hace 1 semana
About us and our team:
Are you interested in working at one of only 4 global Google GMP sales partners? Do you want to join a rapidly growing team, in an international environment where you will find a lot of opportunities to develop yourself and collaborate with colleagues from different Countries all over the world? you are in the right place
Position Overview:
As a Data Engineer at Incubeta, you will play a crucial role in managing and optimizing our Clients' data infrastructures.
You will be part of our Data & Analytics team in Madrid, Spain closely cooperating with our local and global teams.
Your expertise in Google Cloud Platform (GCP) and marketing data will be essential in this role.Key Responsibilities:
- Design, develop, test and maintain data pipelines using GCP tools and services such as BigQuery, BQ Dataform, Cloud Functions and Apache Airflow on Composer.
- Collaborate with crossfunctional teams to understand their data requirements and deliver efficient data solutions.
- Ensure data quality and integrity by implementing data validation and cleansing processes.
- Optimize data ingestion and processing pipelines for scalability and performance.
- Monitor and troubleshoot data pipeline issues, resolving them in a timely manner.
- Implement best practices for data security and compliance with relevant regulations.
- Stay uptodate with the latest developments in GCP and marketing technology to recommend and implement improvements.
Qualifications needed to be successful in this role:
- Bachelor's degree in Computer Science, Data Science, related field or equivalent experience.
- Experience as a Data Engineer, preferably in a MarTech or marketing analytics environment.
- Strong proficiency in Google Cloud Platform for Data Warehousing and Data Centralisation projects (BigQuery, Dataproc, Dataflow, Composer, Dataplex, Dataprep).
- Experience with data modeling, data storage, ETL processes, and data warehousing.
- Familiarity with marketing data sources, such as Google Analytics, Google Ads, and other marketing platforms.
- Familiarity with Google APIs
- Knowledge of SQL and scripting languages (pref: Python) for data manipulation.
- Excellent problemsolving and communication skills.
- Ability to work independently and collaboratively in a fastpaced environment.
- English, read, written and spoken to a B2+ level
Preferred Qualifications:
- Familiarity with Machine Learning Modules in GCP (BQML, Vertex AI)
- Familiarity with Tensorflow framework
- Experience with marketing data analytics and reporting tools.
- Google Cloud professional certification Data Engineer
- Google Cloud professional certification Machine Learning Engineer
- Familiarity with other cloud platforms like Amazon AWS or Microsoft Azure.
- Knowledge of marketing concepts and strategies.
Soft Skills:
- Analytical, orderly and problemsolving oriented mindset
- Communication and teamwork attitude
- Proactivity and attitude for customer management
- Leadership
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