Data Engineer

Cloud Analytics Technologies, LLC; Plano (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced Data Engineer with strong hands-on expertise in GCP, PySpark, and data engineering. The role involves building scalable data pipelines, processing large datasets, and developing cloud-based data solutions to empower analytics across the organization.

Ideal candidates will have deep knowledge of GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc, plus experience with data warehousing and cloud platforms.

Qualifications

• Experience with Google Cloud Platform (GCP)
• Strong hands-on PySpark experience
• Data engineering best practices and methodologies

Responsibilities

• Build scalable data pipelines and data processing architectures
• Develop cloud-based data solutions for analytics
• Work with large datasets and optimize ETL/ELT processes
• Collaborate with analytics and product teams to deliver insights

Skills

GCP

Python

SQL

ETL/ELT

Data pipelines

BigQuery

Cloud Storage

Dataflow

Dataproc

Agile development

Tools

Google Cloud Platform

BigQuery

Dataflow

Dataproc

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

Seeking an experienced Data Engineer with strong hands‑on expertise in GCP, PySpark, and data engineering. The candidate will be responsible for building scalable data pipelines, processing large datasets, and developing cloud‑based data solutions.

Key Skills:

Strong experience with GCP

Python and SQL

Data pipeline development and ETL/ELT

GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc

Experience with data warehousing and cloud data platforms

Strong understanding of data engineering best practices and Agile development

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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