Senior Data Engineer (Snowflake)

New

FactoredData engineering

Location: Latin America Fully remoteFull-TimeSenior

Salary not disclosed

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Job Details

Have 5+ years of professional experience shipping high-quality, production-ready code.
Have strong computer science foundations, including data structures and algorithms, operating systems, computer networks, databases, and object-oriented programming.
Have experience with Python.
Have experience setting up data pipelines using relational SQL and NoSQL databases, including Postgres, Cassandra, or MongoDB.
Have strong experience with Databricks and Snowflake.
Have experience with cloud platforms such as AWS, GCP, or Azure.
Have experience with data processing and orchestration tools such as Spark or Airflow.
Have experience manipulating, processing, and extracting value from large datasets.
Have expertise with version control systems such as Git.
Have strong analytical skills related to working with unstructured datasets.
Have excellent verbal and written communication skills in English.
Graph technologies such as Neo4j or graph-based data modeling are a plus.

Develop and maintain ETL processes using Python.
Write SQL queries to extract, manipulate, and analyze data from databases.
Design, build, and optimize large-scale data pipelines using Databricks and Snowflake.
Automate data processing, delivery, validation, and augmentation.
Collaborate with stakeholders to translate data needs into scalable solutions.
Design and develop API integrations to feed different data models.
Partner with AI/ML engineers to identify data sources, gaps, and dependencies while implementing new features.
Monitor and test systems to identify bugs and performance issues and ensure data integrity.
Build scalable infrastructure using SQL and AWS big data technologies.
Keep data secure and compliant with international data handling rules.

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