ETL Developer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking a skilled ETL Developer with strong expertise in data integration, data warehousing, and database development. The ideal candidate should have hands-on experience in designing, developing, and maintaining ETL pipelines, performing data transformations, and managing large-scale data processing solutions. The role involves ensuring data accuracy, optimizing workflows, and supporting enterprise data warehouse environments.

Roles & Responsibilities:

• 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 database scripts for data processing.
• Work with data warehouses, relational databases, and cloud-based data platforms.
• Implement data cleansing, validation, transformation, and reconciliation processes.
• Develop automated data pipelines to support business intelligence and reporting requirements.
• Integrate data from APIs, flat files, databases, and external systems.
• Monitor ETL job execution and troubleshoot data loading failures.
• Perform performance tuning to improve ETL workflow efficiency.
• Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements.
• Implement data quality checks and ensure consistency across source and target systems.
• Support data migration, system upgrades, and production deployments.
• Maintain technical documentation, data mappings, and workflow specifications.
• Participate in code reviews, testing, and continuous improvement initiatives.

Preferred Qualifications:

• Knowledge of AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
• Experience with Apache Spark and PySpark.
• Understanding of Data Lake and Lakehouse architectures.
• Familiarity with CI/CD pipelines and automated deployment.
• Knowledge of Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.