Senior Data Engineer
New
São Paulo, SPFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English and Portuguese.
- Experience
- 2+ years of experience in Data Engineering or Analytics.
- Required Skills
- PostgreSQLPythonSQLETLKafkaAirflowClickhouseData scienceGoGrafanaRustdbtDatadog
Requirements
- Bachelor degree in Data Science, Statistics, Computer Science, or a related field.
- Advanced English and Portuguese.
- 2+ years of experience in Data Engineering or Analytics.
- Highly experienced in SQL and database management systems such as PostgreSQL and Clickhouse.
- Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
- Strong experience with programming languages such as Python with modern data stack for data engineering (e.g. DuckDb, Polars...).
- Experience with streaming tools (e.g. Kafka).
- Experience with cloud-based data platforms like AWS Redshift.
- Experience with GoLang/Rust is a plus.
- Experience with observability tools is a plus (e.g. Datadog, Grafana)
Responsibilities
- Develop and maintain scalable data pipelines and ETL processes.
- Design, implement, and optimize existing data extraction and loading processes with adequate data engineering design patterns.
- Lead data engineering reliability and observability, increasing analytics team awareness of the data flow processes before it becomes an issue.
- Collaborate with backend and analytics engineers in a holistic data engineering process, loading data accordingly with the technical requirements.
- Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
- Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal
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