Data Engineer LATAM
Data Engineer LATAM
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1 Vacancy
Job Description
Data Engineer the team requires:
Minimum 5 years of handson experience in data engineering roles proven track record of successfully delivering complex data projects.
Advanced proficiency in Python with a focus on data engineering familiar with libraries such as Pandas NumPy and PySpark
Extensive experience with largescale data processing and ETL (Extract Transform Load) workflows
Indepth knowledge of various database systems (relational and NoSQL) proficiency in writing optimized and efficient SQL queries
Familiarity with Snowflake technologies and its architecture expertise in data modeling schema design and optimization techniques
Practical experience with Apache Spark for largescale data processing familiarity with distributed computing principles and practices
Experience with AWS understanding of cloud architecture and best practices for data engineering
Proficiency with Apache Airflow or similar workflow orchestration tools
Experience in designing implementing and maintaining robust data pipelines
Familiarity with data version control systems (e.g. DVC)
Understanding of data governance principles and best practices
Basic understanding of ML algorithms and frameworks
Good to have experience with tools like TensorFlow or PyTorch
Strong problemsolving and analytical thinking abilities.
Bachelors degree in Computer Science Data Science or a related field
Required Skills : Python
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Employment Type
Full Time
