Senior Data Engineer

Posted 4 months agoViewed

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💎 Seniority level: Senior, 4+ years

📍 Location: Brazil, Brasilia Standard Time, NOT STATED

🔍 Industry: Digital Learning

🗣️ Languages: English, Portuguese

⏳ Experience: 4+ years

🪄 Skills: AWSPythonSQLETLGitJavaKafkaStrategyData engineeringCollaborationRESTful APIsTerraform

Requirements:

4+ years of professional experience in data engineering.
Proficiency in processes used in modern data engineering.
Solid understanding of cloud infrastructure.
Hands-on experience with relevant data-related AWS services.
Advanced understanding of the relational data model.
Experience interacting with RESTful APIs and webhooks.
Understanding of DevOps disciplines and Git version control.
A commitment to writing clean, efficient, and maintainable code.
Familiarity with monitoring tools like CloudWatch or New Relic.
Familiarity with incident management tools like PagerDuty is desirable.
Understanding Software Engineering paradigms and lifecycle is desirable.
Strong SQL skills.
Expertise utilizing Python for data wrangling.
Experience using Airflow for data pipeline orchestration.
Experience with Spark creating big data workloads.
Experience working with large-scale data warehouses like Redshift.
Experience with Terraform composing AWS infrastructure is desirable.

Responsibilities:

Partner with Engineering and Product teams on high-impact initiatives.
Design and implement robust data pipelines using AWS services.
Enhance event collection, queueing, and processing mechanisms.
Build and refine meaningful alerts with automated corrective actions.
Troubleshoot and resolve issues, ensuring system reliability and stability.
Architect scalable data products with long-term vision and efficiency in mind.
Identify and resolve complex technical challenges involving system integration, infrastructure, and software bugs.

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