Ingeniero de datos - Standard
Tasks
- Accelerate development with generative AI tools
- Build ETL/ELT processes
- Define cloud data architectures
- Design scalable data pipelines
- Document data workflows and best practices
- Ensure data quality consistency traceability availability
- Ingest, transform, and load data
- Process structured and unstructured data
- Translate business requirements into technical solutions
- Work with clients to understand needs and propose solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | Airflow | Amazon Athena | Amazon EMR | Amazon Redshift | Amazon S3 | Apache Spark | Control-M | DBT | Data Enrichment | Data Lake | Data Quality | Data Validation | DataX | Dataframes | DynamoDB | ELT | ETL | Generative AI | Git | GitHub | LLM APIs | Lakehouse | MongoDB | MySQL | PostgreSQL | Python | SQL | SQL Server | Scala | Spark SQL
Education
N/A
Roles
Regions
Countries
States
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