Data Engineer: Build Cloud Pipelines in SQL/Python

GetJobSmart; San Jose (CA); Vor Ort; USD 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Health insurance (medical, dental, and

401(k) plan

Professional development opportunities

Zusammenfassung

Onyx Central Solutions in San Jose, CA, is hiring a Data Engineer to design and maintain data pipelines that enable data-driven decision making and support data scientists in their analyses. The role emphasizes data accuracy, accessibility, and scalable architecture in a fintech environment.

The ideal candidate holds a Bachelor's degree in Computer Science or related field with 3-5 years of data engineering experience, strong SQL and Python skills, and hands-on experience with cloud platforms

Qualifikationen

• Bachelor's degree in Computer Science or related field.
• 3-5 years of experience in data engineering.
• Experience with data modeling and ETL processes.
• Proficiency in SQL and Python.
• Knowledge of cloud platforms like AWS, GCP, or Azure.
• Familiarity with big data technologies such as Hadoop, Spark, or Hive.

Aufgaben

• Design, build, and maintain data pipelines to ensure data integrity and availability.
• Collaborate with data scientists to support data analysis needs.
• Monitor and optimize data pipelines for performance and reliability.
• Work with other teams to understand data requirements and deliver solutions.
• Stay up-to-date with data engineering technologies and trends.
• Mentor and train junior team members on best practices.

Kenntnisse

SQL

Python

Data warehousing

ETL

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Cloud platforms (AWS, GCP, Azure)

Big data (Hadoop, Spark, Hive)

Jobbeschreibung

Onyx Central Solutions in San Jose, CA, is hiring a Data Engineer to design and maintain data pipelines that enable data-driven decision making and support data scientists in their analyses. The role emphasizes data accuracy, accessibility, and scalable architecture in a fintech environment.

The ideal candidate holds a Bachelor's degree in Computer Science or related field with 3-5 years of data engineering experience, strong SQL and Python skills, and hands-on experience with cloud platforms