Key skills
Amazon RedshiftAWSCloudHadoopLinuxPythonSparkSQLData EngineeringRedshiftRDSGlueKinesisAgile
About this role
Role Overview
- Lead client projects, ensuring high data quality.
- Develop, maintain, and improve data pipelines.
- Evolve cloud platforms and solutions using expertise in Cloud, DataOps, and Data Engineering.
- Contribute to architectural decisions, mitigation of technical debt, and agile practices.
- Participate in internal training and alignment activities at Dadosfera.
Requirements
- 5+ years of relevant professional experience.
- Degree in a STEM field (Data Science, Statistics, Mathematics) or equivalent certification.
- Experience building and maintaining data pipelines (e.g., Python, SQL).
- Strong proficiency in SQL development and Python programming.
- Experience with Linux environments and AWS services (Redshift, RDS, EMR, Kinesis, Glue).
- Ability to process and transfer data using custom scripts (APIs, files).
- Knowledge of Big Data tools and frameworks (e.g., Hadoop, Spark, Hive).
Tech Stack
- Amazon Redshift
- AWS
- Cloud
- Hadoop
- Linux
- Python
- Spark
- SQL
Benefits
- Opportunity to participate in stock options.