ETL & Data Integration Engineer

Quantum Technologies LLC; Denver (CO); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Quantum Technologies. LLC in Denver is seeking a skilled ETL Developer with strong expertise in data integration, data warehousing, and database development.

You will design, develop, and maintain ETL pipelines, implement data transformations, and optimize large-scale data processing. The role requires building SQL queries, working with cloud data platforms, and ensuring data quality for BI and reporting. Collaborate with data engineers, analysts, and stakeholders to meet data requirements.

Qualifikationen

• Hands-on experience in designing, developing, and maintaining ETL pipelines.
• Experience with data transformations and large-scale data processing.
• Ability to work with data warehouses, relational databases, and cloud data platforms.
• Develop automated data pipelines for BI and reporting.

Aufgaben

• Design, develop, and maintain ETL processes across sources.
• Build and optimize data integration workflows for structured and unstructured data.
• Develop complex SQL queries, stored procedures, and scripts.
• Monitor ETL job execution and troubleshoot loading failures.
• Collaborate with data engineers, analysts, and stakeholders to understand data requirements.
• Implement data quality checks and ensure data consistency across sources.
• Support data migration, system upgrades, and production deployments.

Kenntnisse

ETL development

Data integration

Data warehousing

SQL queries

Stored procedures

Database scripts

Cloud data platforms

Data cleansing

Data quality checks

BI collaboration

Tools

AWS Glue

Azure Data Factory

Google Dataflow

Apache Spark

PySpark

CI/CD pipelines

Data Lake

Lakehouse

Jobbeschreibung

Quantum Technologies. LLC in Denver is seeking a skilled ETL Developer with strong expertise in data integration, data warehousing, and database development.

You will design, develop, and maintain ETL pipelines, implement data transformations, and optimize large-scale data processing. The role requires building SQL queries, working with cloud data platforms, and ensuring data quality for BI and reporting. Collaborate with data engineers, analysts, and stakeholders to meet data requirements.