We're looking for Data experts who are excited to work on transformational experiences for some of the world's top brands at our Buenos Aires Office.
You will be working in cross-functional teams alongside designers, developers, strategists, and other data specialists to create innovative solutions and bring ideas to life.
We are a team of Data Geeks,
We are obsessed with measuring correctly,
We are delighted integrating scattered Data sources,
We are excited finding a precise predictive model,
We fall in love with sexy Data visualizations.
We aim to create and deliver value through Data.
Less gut-feeling, more informed decisions.
Less Big Data, more Big Insights,
Fewer promises, more results.
We are here to build a more human future, through the power of Data.
Come join us!
Here's what you should know if you want to be a Data Engineer on the Data & Marketing Sciences team at R/GA:
On any given day you might
- Design, build and support new and existing Tech infrastructure to extract, transform and distribute data.
- Integrate data from various unstructured or structured sources, such as public data, geo-data, social media, web logs, transactional databases, flat files and further more.
- Optimize the data ecosystem to provide optimal performance under increasing data volumes.
- Partner with Project team members to translate business and functional data requirements into technical designs.
- Prepare Data to be processed by Scientists or Analysts.
- Perform data analysis and data discovery to drive clear information requirements.
- Develop quality standards to ensure data quality and integrity across all data sources.
The ideal person
- Loves data and has strong infrastructure skills
- Is a proactive and resourceful problem solver
- Is eager to help people make data useful.
- Has experience with Cloud Technologies, Relational Databases and Python.
- Enjoys working with cross-functional teams
You bring
- 3+ years of experience in a related role
- Bachelor's degree in Information Systems, Engineering, Statistics or equivalent education and experience
- Solid understanding of Cloud Services (ideally GCP) and their services (e.g. BigQuery, CloudRun, DataFlow, Dataproc, etc).
- Solid understanding the basics of distributed systems, algorithms, data structures and architectures.
- Proficient in Data Integration and Business Intelligence, showing hands-on experience on: Database systems, data warehousing solutions, ETL tools and API development.
- Fluent English.
- Statistical analysis background is a plus, showing experience on:
Python, R, Scala, Apache, Spark, SPSS, SAS or any other Data mining / machine learning methodology. NPS, Cross/Up-Sell, Churn, or similar model development.