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Big Data Engineer
Job summary
A leading software company in Brazil is seeking a Data Engineer to develop and maintain ETL pipelines and data integration services. The ideal candidate will have 2-4 years of experience, strong skills in Python and SQL, and familiarity with AWS data services. This role offers a full-time position with remote work options available.
Qualifications
- 2-4 years of experience as a Data Engineer or Back-end Developer.
- Strong hands-on experience with Python and SQL.
- Experience with AWS data services (S3, DynamoDB, Lambda, Glue).
- Familiarity with NoSQL databases and API integrations.
Responsibilities
- Develop and maintain ETL pipelines and data integration services.
- Work with AWS services and NoSQL databases.
- Design, optimize and validate data flows.
- Troubleshoot production data issues.
Skills
Tools
- Develop and maintain ETL pipelines and data integration services using Python and SQL
- Work with AWS services (S3, DynamoDB, Lambda, Glue) and NoSQL databases (MongoDB, DynamoDB)
- Design, optimize and validate data flows ensuring data quality across systems
- Collaborate with Senior engineers on architecture and performance improvements
- Troubleshoot production data issues and perform root cause analyses
- Contribute to the continuous improvement of development practices and performance monitoring
- 2-4 years of experience as a Data Engineer or Back-end Developer
- Strong hands‑on experience with Python and SQL
- Experience with AWS data services (S3, DynamoDB, Lambda, Glue)
- Familiarity with NoSQL databases and API integrations
- Basic understanding of PySpark or similar distributed frameworks
- Analytical mindset and proactive problem‑solving skills
- Fluent in English (Upper‑Intermediate level or higher)
- Experience with Airflow or other orchestration tools
- Interest in big data performance tuning and cloud optimization
- Strong communication and collaboration skills
- Self‑motivated, responsible and able to work independently
Remote Work: Yes
Employment Type: Full-time
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
Experience: years
Vacancy: 1
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.