Data Engineer

Tech3pillars Technologies; Arizona; On-site; USD 120,000 - 160,000; Full time

Job summary

Tech3pillars Technologies is seeking a Data Engineer in Phoenix, AZ to design, build, and maintain scalable data pipelines on Google Cloud Platform. The ideal candidate has 8–10 years of experience, with deep Python, SQL, and GCP expertise, and hands-on work with BigQuery, Airflow, and Dataflow.

The role focuses on ETL/ELT development, data warehousing concepts, and delivering robust data solutions for analytics and BI. On-site position in Phoenix with potential for collaboration across teams.

Qualifications

• 8-10 years of experience in data engineering or similar roles.
• Strong Python proficiency and GCP expertise.
• Advanced SQL development and query optimization skills.

Responsibilities

• ETL/ELT development and optimization on GCP.
• Design and maintain scalable data pipelines and data warehouse concepts.
• Build and optimize batch and real-time data processing workflows on GCP.

Skills

Python

Google Cloud Platform

SQL optimization

Tools

BigQuery

Airflow

Dataflow

Job description

Job Title: Data Engineer

Work Location : PhoenixAZ85004

Job Details

Must Have Skills (Top 3 technical skills only) *

• 1. Strong programming experience in Python.
• 2. Handson experience with Google Cloud Platform (GCP).
• 3. Advanced SQL development and query optimization.

Detailed Job Description

seeking a skilled GCP Python Data Engineer to design, develop, and maintain scalable cloudbased data solutions on Google Cloud Platform GCP. The ideal candidate will have strong expertise in Python, SQL, BigQuery, Cloud Composer Airflow, Dataflow, Dataproc, and modern ETLELT frameworks. The role involves building data pipelines, optimizing data processing workflows, and enabling analytics and business intelligence solutions.

Minimum years of experience*: 8-10 years

Top 3 responsibilities you would expect the Subcon to shoulder and execute*

• 1. ETLELT development experience. Experience with PySparkSpark.
• 2. Understanding of Data Warehousing concepts and dimensional modeling.
• 3. Design, develop, and maintain scalable batch and realtime data pipelines on GCP.

Interview Process (Is face to face required?)

Yes