Data Engineer
- Accepting Applications Closed
- US Company | Medium (51-250 employees)
- LATAM (100% remote)
- 5+ years
- Long-term (40h)
- Advertising Services
- Full Remote
Required skills
- Python
- SQL
Requirements
Must-haves
- 5+ years of data engineering experience
- Experience with Python for data engineering work involving ETL/ELT pipelines and related components
- Proficiency with SQL, Python and other data-focused languages
- Ability to design scalable solutions, evaluate emerging data technologies and anticipate new trends to address complex challenges
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience
- Familiarity with Snowflake
- Familiarity with AWS
- Experience with DBT, Dagster, Apache Iceberg or Infrastructure as Code
- Knowledge of scalable data lake and streaming patterns
- Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- Contribute to data engineering initiatives within an experienced data organization
- Explore and analyze connected datasets to identify patterns and develop high-quality data models
- Partner with the data engineering group to refine and optimize transformation workflows
- Design, build and operationalize large-scale data solutions using AWS services and third-party technologies (Spark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Glue, Snowflake)
- Build production data pipelines covering ingestion through consumption using SQL and Python
- Implement data engineering, ingestion and curation functions on AWS using native or custom tooling
- Lead proofs of concept and guide the transition of validated solutions into scalable production environments across engineering, deployment and commercialization
- Collaborate with analytics teams using Looker, QuickSight and Q to provide clean and reliable datasets
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