LATAM Data Engineering Senior Role
1 semana atrás
We are seeking a skilled data engineer to join our team in LATAM.
Key Responsibilities- Design and build efficient data ingestion pipelines using modern data engineering tools.
- Ensure high-quality code through unit testing, debugging, and peer reviews.
- Collaborate with cross-functional teams to optimize data architecture and integration processes.
- Troubleshoot and improve legacy data connectors while developing scalable solutions.
- Validate data quality and provide clear documentation for internal teams.
- At least 5 years of experience in data engineering roles.
- Strong SQL skills and relational database design knowledge.
- Hands-on experience with Spark (preferably Scala).
- Familiarity with NoSQL databases and cloud environments (AWS).
- Experience with data ingestion tools and frameworks.
- Familiarity with Python and Java for data processing.
This is a senior-level position that requires expertise in data engineering. If you have the necessary skills and experience, we encourage you to apply.
The ideal candidate will be responsible for designing and building efficient data ingestion pipelines, ensuring high-quality code, collaborating with cross-functional teams, troubleshooting and improving legacy data connectors, validating data quality, and providing clear documentation.
About Our Ideal CandidateWe are looking for a highly skilled data engineer who has at least 5 years of experience in data engineering roles. The ideal candidate should have strong SQL skills and knowledge of relational database design, hands-on experience with Spark (preferably Scala), familiarity with NoSQL databases and cloud environments (AWS), experience with data ingestion tools and frameworks, and familiarity with Python and Java for data processing.
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