Data Engineer – Infra & AWS ETL Platform

PDS Inc.; Seattle (WA); On-site; USD 85,000 - 121,000; Full time

Job summary

PDS Inc. is seeking a Senior Data Engineer to join the Infrastructure Automation team in Seattle.

You will design, develop, and operate a data service platform using Python, SQL, and AWS technologies to build ETL, analytics, and data quality components for scalable infrastructure reporting and ML workflows. You will collaborate with business owners, product teams, and tech leaders to gather requirements and deliver robust data pipelines while leveraging AWS CodeDeploy, CodePipeline, CDK and

Qualifications

• 5+ years of related experience.
• Expertise in data modeling and warehousing with ETL pipelines.
• Experience with Python and SQL; working with big data tech.

Responsibilities

• Interface with teams to extract, transform, load data from diverse sources using Python, SQL and AWS data tech.
• Explore new AWS technologies to improve capabilities and efficiency.
• Design and implement complex data pipelines and related solutions.
• Collaborate with business owners and BI engineers to deliver data for analysis.
• Create extensible, maintainable data designs with long-term vision.
• Improve tooling and scale existing solutions per stakeholder needs.
• Understand business requirements and implement data for analytics and reporting.
• Partner with stakeholders to provide data revealing patterns and anomalies.

Skills

Data modeling

Warehousing

ETL pipelines

Python

SQL

Big data technologies

Reporting

Analytical skills

AWS big data

Tools

AWS CodeDeploy

CodePipeline

CDK

CloudFormation

Redshift

Glue

S3

IAM

CloudWatch

Job description

PDS Inc. is seeking a Senior Data Engineer to join the Infrastructure Automation team in Seattle.

You will design, develop, and operate a data service platform using Python, SQL, and AWS technologies to build ETL, analytics, and data quality components for scalable infrastructure reporting and ML workflows. You will collaborate with business owners, product teams, and tech leaders to gather requirements and deliver robust data pipelines while leveraging AWS CodeDeploy, CodePipeline, CDK and