ETL Developer – Cloud Data Pipelines & Warehousing

Ethereum Technologies LLC; Denver (CO); Presencial; USD 90.000 - 150.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a skilled ETL Developer to design, develop, and maintain ETL pipelines for enterprise data needs. The role focuses on data integration, warehousing, and scalable data processing across cloud platforms.

The ideal candidate will have hands-on experience with AWS Glue, Azure Data Factory, Google Cloud Dataflow, and Apache Spark, along with strong SQL skills. Collaboration with data engineers and analysts is essential to meet BI and reporting requirements.

Formación

• Experience in designing, developing, and maintaining ETL pipelines for data integration.
• Proficiency with SQL queries, stored procedures, and database scripts.
• Knowledge of data warehousing concepts and cloud-based data platforms.
• Experience with data cleansing, transformation, and validation processes.
• Familiarity with CI/CD for data pipelines and automation.

Responsabilidades

• Design, develop, and maintain ETL processes to extract, transform, and load data from multiple sources.
• Build and optimize data integration workflows for structured and unstructured datasets.
• Develop complex SQL queries, stored procedures, and scripts for data processing.
• Work with data warehouses, relational databases, and cloud-based platforms.
• Implement data quality checks and ensure data integrity across systems.
• Develop automated data pipelines to support BI and reporting.

Conocimientos

ETL Development

SQL & Stored Procedures

Data Warehousing

Cloud Data Platforms

Data Integration

Data Quality

CI/CD Pipelines

Agile/Scrum

Apache Spark

PySpark

AWS Glue

Azure Data Factory

Google Cloud Dataflow

APIs

Flat Files

Herramientas

AWS Glue

Azure Data Factory

Google Cloud Dataflow

Apache Spark

PySpark

Descripción del empleo

Ethereum Technologies is seeking a skilled ETL Developer to design, develop, and maintain ETL pipelines for enterprise data needs. The role focuses on data integration, warehousing, and scalable data processing across cloud platforms.

The ideal candidate will have hands-on experience with AWS Glue, Azure Data Factory, Google Cloud Dataflow, and Apache Spark, along with strong SQL skills. Collaboration with data engineers and analysts is essential to meet BI and reporting requirements.