Senior Databricks Data Engineer for Retail Analytics

Artech L.L.C.; Portland (OR); Hybrid; USD 110,000 - 160,000; Full time

Job summary

A leading technology firm seeks a highly skilled Databricks Data Engineer in Portland, OR. Candidates should have at least 10 years of experience, particularly in the retail sector, and strong skills in Python, SQL, and various ETL tools. This role involves designing data pipelines, optimizing databases, and implementing AWS solutions. If you're passionate about driving business success through innovative data strategies, we encourage you to apply.

Qualifications

• 10+ years of total experience in data engineering.
• 6+ years in Python programming for data processing.
• 4+ years of experience with Databricks and Snowflake.
• 4+ years in SQL development and performance tuning.
• Strong understanding of retail industry data needs.

Responsibilities

• Design and maintain scalable data pipelines using Databricks.
• Optimize SQL queries and manage RDBMS/NoSQL databases.
• Develop REST APIs to integrate data sources.
• Implement AWS cloud solutions for data management.
• Collaborate with teams to develop data solutions.

Skills

Python

SQL

ETL tools

Databricks

Snowflake

AWS

Hadoop

Tools

Apache Airflow

AWS Glue

Azure Data Factory

Talend

Alteryx

Job description

A leading technology firm seeks a highly skilled Databricks Data Engineer in Portland, OR. Candidates should have at least 10 years of experience, particularly in the retail sector, and strong skills in Python, SQL, and various ETL tools. This role involves designing data pipelines, optimizing databases, and implementing AWS solutions. If you're passionate about driving business success through innovative data strategies, we encourage you to apply.