Data Engineer – GCP & PySpark

Cloud Analytics Technologies, LLC; Woodbridge Township (NJ); On-site; USD 77,000 - 110,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Iselin, NJ is seeking an experienced Data Engineer with strong hands-on expertise in GCP, PySpark, Python and SQL to build scalable data pipelines and cloud-based data solutions. You will work on ETL/ELT processes, data warehousing, and data platform integration in an Agile environment.

The role requires delivering high-quality data infrastructure, collaborating with cross-functional teams and ensuring robust data governance.

Qualifications

• Hands-on experience building scalable data pipelines in the cloud.
• Strong knowledge of GCP, PySpark, Python and SQL.
• Experience with data warehousing and cloud data platforms.

Responsibilities

• Build scalable data pipelines and batch/streaming ETL/ELT processes.
• Process large datasets and develop cloud-based data solutions.
• Collaborate in agile teams to implement data engineering best practices.

Skills

GCP

PySpark

Python

SQL

Data pipeline development

ETL/ELT

BigQuery

Cloud Storage

Dataflow

Dataproc

Data warehousing

Agile development

Tools

GCP Tools

Job description

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

Job Title: Data Engineer – GCP & PySpark

Location: Iselin, NJ

Duration: 8 Months + Extension

Bill Rate: $68/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

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.

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