Senior Data Engineer
Beltis
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
ApacheAWSDynamoDBETLPostgresPySparkPythonSparkSQL
About the role
- Develop, maintain and evolve data pipelines in an AWS environment
- Implement ETL/ELT processes using AWS Glue and EMR
- Create and maintain analytical dashboards using Amazon QuickSight
- Create, optimize and maintain SQL queries in Amazon Athena
- Perform data modeling for Data Warehouse and Data Lake
- Implement data governance practices, data quality, versioning and access control
- Work in Big Data and distributed processing environments, ensuring scalability and performance.
Requirements
- Strong knowledge of AWS services, including: S3, Athena, Glue, EMR, QuickSight
- Experience with DynamoDB
- Experience with RDS PostgreSQL
- Solid knowledge of data modeling, including: Star Schema, Snowflake, Data Warehouse, Data Lake, normalization and denormalization
- Experience with SQL, Python and Apache Spark (PySpark)
- Proven experience in Big Data and distributed processing environments
- Experience with Data Lakes and Data Lakehouses, especially with Apache Iceberg.
Benefits
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTSQLPythonApache Sparkdata modelingdata governancedata qualityversioningaccess control