Data Engineer
K
KISData Engineering
Live in Latin America region.Full-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Required Skills
- PythonSQLETLGitKubernetesAzureData modelingDatabricks
Requirements
- Professional experience as a Data Engineer working with production data pipelines.
- Strong experience with SQL, including query optimization, indexing, partitioning, and performance trade-offs.
- Professional experience writing Python for data transformations, following good design and modularization practices.
- Experience designing and implementing data models for analytics use cases.
- Experience building and operating pipelines using cloud-based data platforms.
- Hands-on experience with Azure, Databricks, and Data Lake environments.
- Experience operating data pipelines, including error handling, monitoring, and data quality processes.
- Familiarity with Git for version control.
- Experience working with Kubernetes or containerized data workloads.
- Knowledge of basic data security and governance practices.
- Advanced English for collaboration with global clients.
- Live in Latin America region.
Responsibilities
- Design, build, and maintain end-to-end data pipelines (batch and/or streaming), from ingestion to transformation and delivery.
- Develop and operate ETL/ELT workflows, ensuring reliability, scalability, and performance.
- Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases.
- Implement and maintain data models (e.g., star schemas, incremental models) optimized for analytics and reporting.
- Develop reusable and modular Python code for data transformations and pipeline logic.
- Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration, data sources, and cloud services.
- Ensure data quality by implementing automated validation checks (schema validation, freshness checks, row-level assertions).
- Collaborate with analysts, backend engineers, and other stakeholders to define data contracts and ensure data availability.
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