Data Engineer

Ohm Systems
Beaverton, OR, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$230,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Business Analytics Applications Big Data Extract Transform Load (ETL) Data Systems Data Warehousing Revision Control Systems Python (Programming Language) Cloud Services SQL Databases Git
+4 more
Data Analytics Data Management Data Pipelines Databricks

Job description

We are seeking a skilled Data Engineer with strong expertise in Databricks, Python, SQL, and AWS to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate will work closely with cross-functional teams to build reliable data platforms and support business intelligence and data-driven initiatives., * Design, develop, and maintain ETL/ELT pipelines using Databricks.

  • Build and optimize data processing workflows using Python and SQL.
  • Develop scalable data solutions on AWS services such as S3, Glue, Lambda, and Redshift.
  • Ensure data quality, integrity, and performance across data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
  • Monitor, troubleshoot, and enhance existing data pipelines.

Requirements

  • Strong hands-on experience with Databricks.
  • Proficiency in Python and SQL.
  • Experience with AWS cloud services and data engineering solutions.
  • Knowledge of data warehousing, ETL/ELT concepts, and big data processing.
  • Familiarity with version control tools such as Git.

About the company

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