Data Engineer

Shrive Technologies LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Shrive Technologies LLC in the United States is seeking a data engineer to design and develop scalable data pipelines and ETL/ELT solutions on Azure. You will work with modern data platforms to transform and load large volumes of data efficiently.

The role requires strong experience with Databricks, PySpark, SQL, Delta Lake and Azure data services, plus data integration, performance optimization, and CI/CD practices to ensure reliable, scalable data workflows.

Qualifications

• Experience designing scalable data pipelines on cloud platforms.
• Proficiency with Databricks, PySpark, SQL, Delta Lake on Azure.
• Ability to optimize data workflows for performance and cost.

Responsibilities

• Design and develop scalable data pipelines and ETL/ELT solutions on Azure.
• Collaborate to optimize data processing performance and reliability.
• Implement CI/CD practices for data workflows.

Skills

Databricks

PySpark

SQL

Delta Lake

Azure data services

data integration

performance optimization

CI/CD

Job description

Job Summary

Responsible for designing and developing scalable data pipelines and ETL/ELT solutions on Azure.

Mandatory skills: Databricks, PySpark, SQL, Delta Lake, Azure data services, data integration, performance optimization, and CI/CD.

Key Responsibilities

Responsible for designing and developing scalable data pipelines and
ETL/ELT solutions on Azure.

Mandatory skills: Databricks, PySpark, SQL, Delta Lake, Azure data services, data integration, performance optimization, and CI/CD.