big data engineer

zoolatech

1.  Extract the data from multiples sources like Teradata, Snowflake, Hive tables, Kafka (Real-time streaming).
2.  Build and maintain batch and real-time ETL pipelines in a Airflow, Databricks using python as a primary
3.  language.
4.  Data transformation with sql code and python libraries such as pandas, pyspark,
5.  Dimensions and Facts Design and Data Modeling for reporting and warehouse purposes.
6.  Maintenance of databases, as well as the creation of new objects such as dim tables, fact tables, views, sp, etc.
7.  Creation of branches by git, devops with gitlab.

data engineer

AgileThought

1. Extract the data from multiples sources like Bigquery, Redshift, Hive tables, Kafka (Real-time streaming).
2.  Build and maintain batch and real-time ETL pipelines in a Airflow, Databricks using hybrid code sql /python.
3.  Data transformation with sql code and python libraries such as pandas, pyspark,
4.  Dimensions and Facts Design and Data Modeling for reporting and warehouse purposes.
5.  Maintenance of databases, as well as the creation of new objects such as dim tables, fact tables, views, sp, etc.
6.  Creation of branches by git, version control with Git/Git lab.

data engineer

Mary Kay

1. Automated ETL processes across billions of rows of data which reduced manual workload monthly from +6 different countries.
2. • Report/Dashboards using BI tool such SSRS, Power BI.
3. • Built new ETL packages using Microsoft SSIS. New packages included detailed workflow of data imports from client FTP server.

data engineer

NEITEK

1. Data transformation and calculations focused on variable compensation plans using ICM software.
2. • Designed and implemented a real-time data pipeline to process variable compensation plans by integrating over 100 000 raw records saving 10 hours of manual work each week.
3. • Report/Dashboards using ICM BI Tool.

data engineer

Vortech

1. • Develop the database migration from JDA to Oracle using Datastage and Qualitystage.
2. • Automated ETL processes from web services and data transfer to servers through SFTP protocol and shell scripting (UNIX)
3. • SQL, TSQL, advanced joins queries.

software engineer

Moneyko

1. • Front end development with react.js
2. • Back end Development with express js
3. • Mongo DB.

Tecnologico de monterrey

Applied Artificial intelligence

UTEL

Computer system engineer