Sr Data Science (Remoto En Latam) - Remote

We are looking for our new Sr Data Science.  Objective: To implement scalable ETL processes that allow integrating the information required by the various internal areas and customers of the company.
Responsibilities: Design and implementation of ETL batch and Streaming processes under best practices.
Design and build data structures and/or Apis that allow to explore the information required by all areas of the company and our customers.
Translate business requirements into data models for implementation (dimensional models and datamarts).
Development of SQL Queries for information analysis and exploration.
Implement and drive continuous improvement and Data Governance strategies.
Machine learning implementations and broad scope of action within data analytics.
Creating Forecast and on point time series.
At least 5 years in data analysis and modeling.
Proficiency in Statistics and Mathematics.
5+ Years of experience in Definition Design and implementation of Machine Learning models (Forecast/ Time Series, Anomaly Detection and Classification) in ML tools such as AWS Sagemaker, Datauki H20 or similar.
At least 4 years of experience working with Database Managers such as: SQL Server, PostgreSQL, Redshift, Oracle or Snowflake.
At least 4 years of experience in AWS.
At least 3 years in Python, PySpark development.
At least 3 years in ETL tools (Glue, dbt, dms, Pentaho, or IPC).
At least 4 years of DWH and/or Data Lake experience.
At least 2 years experience in streaming tools such as Kafka or AWS Kinesis.
At least 2 years of experience in Lambdas development.
Wish 3 years of experience is DB NoSQL (MongoDB, DynamoDB, DocumentDB or Cassandra)