ETL Developer

Quantum Technologies. LLC; San Jose (CA); On-site; USD 140,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC is seeking a data engineer to design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform with BigQuery. You will translate business requirements into robust data models and data structures that support analytics and dashboarding.

The role emphasizes data quality, performance tuning, and scalable data architectures. You will collaborate with cross-functional teams to enable reliable data access and insights across the organization.

Qualifications

• Proficiency in Python, SQL, and data engineering concepts.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data warehouses, data lakes, and storage for analytics.
• Implement data quality checks and monitoring.
• Work with large datasets, modeling schemas, and performance tuning.
• Create BI-friendly data models to enable dashboards.

Skills

Python

SQL

Data engineering concepts

Tools

Google Cloud Platform

BigQuery

Job description

• -Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.
• -Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.
• -Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.
• -Work with large datasets, performing data modeling, schema design, and performance tuning.
• -Create data models that are easy for BI tools to consume and build a dashboard.

Qualifications needed:

• -Proficiency in Python, SQL, and data engineering concepts.

Technologies used:

• -Internal tools

Platform/Tools used:

• -Google Cloud Platform, BigQuery.

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.