Senior Data Engineer
New
T
tapoutsEdTech
Brazil. Colombia. MexicoFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLApache AirflowETLGCPAzureData engineeringSparkData modeling
Requirements
- 5+ years of experience in data engineering or a related field.
- Advanced English proficiency.
- Strong proficiency in SQL, writing complex queries, optimizing performance, and data modeling.
- Strong proficiency in Python, building ETL/ELT pipelines, scripting, and automation.
- Experience with cloud platforms: AWS, GCP, or Azure.
- Hands-on experience with data orchestration tools (Apache Airflow, Prefect, or similar).
- Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar).
- Familiarity with data warehousing solutions (Snowflake, BigQuery, Redshift, or similar).
- Strong understanding of data modeling, schema design, and data architecture principles.
Responsibilities
- Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming).
- Design and develop dashboards that surface key business metrics.
- Develop and optimize complex SQL queries, stored procedures, and data models.
- Write clean, production-grade Python code for data ingestion, transformation, and automation.
- Build and manage cloud-native data infrastructure on AWS, GCP, or Azure.
- Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg).
- Support ML workflows including feature engineering, model training pipelines, and MLOps integration.
- Ensure data quality, governance, and lineage tracking across all data assets.
- Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency.
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