Position: Data Engineer
Category: Data Science
English level: upper
Years of experience: 6


As Data Engineer, I can able to data wrangling and cleaning (SQL & NOSQ),
make Machine Learning Models for specific areas using Python (libraries: Pandas,
Numpy, Scikitlearn, Matplotlib, etc), and data visualization interactive web apps
straight from Shiny, Panel, Tableu, such as:
1. Developing, implementing and maintaining data pipelines to support ETL
processes (using Talend, Jupyter) from multiple data sources like SQL
Server, PostgreSQL, Mysql, AWS S3, etc.
2. Experience with SQL, NoSQL (MongoDB), relational database design,
methods for efficiently retrieving data, as well as data
preparation/wrangling both on demand.
3. Collect and process raw data at scale (including writing scripts, web
scraping, calling APIs, Dockerfile, write SQL queries, etc.)
4. Be an active part in the development of innovation and strategy of a brand
or product.
5. Cloud Experience (AWS Glue and Sagemaker), Azure Data Factory, Azure
Data Lake.