Google Cloud Platform Data Engineer- Local to Philadelphia, PA (Hybrid) - W2 candidates only

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Python
sql
ETL
Date engineer
Jenkin
GCP
data pipelines
kafka

Job Details

Role Name: Google Cloud Platform Data Engineer
Location: Philadelphia, PA (Hybrid, 3 days/week onsite)

Duration: 6+ Months

Job Overview: Client is seeking a talented and experienced Data Engineer to design and implement scalable cloud-native data solutions. This role will involve crafting data platforms, optimizing pipelines, and integrating machine learning workflows for real-time analytics and operational reporting. The position requires strong expertise in Google Cloud Platform (Google Cloud Platform), distributed computing frameworks, and CI/CD infrastructure.

Key Responsibilities: Data Platform Development:

  • Design and implement scalable data storage and processing architectures.
  • Develop cloud-native systems enabling real-time processing and analytics.
  • Optimize data models, schemas, and indexing strategies for performance and cost efficiency.

ETL & Data Pipeline Optimization:

  • Build efficient ETL pipelines using SQL and Python.
  • Develop streaming solutions leveraging Kafka or Apache Beam.
  • Enhance automation for data validation, governance, and monitoring dashboards.

MLOps Integration & Infrastructure Automation:

  • Deploy machine learning pipelines with MLOps best practices.
  • Leverage tools like Terraform and Jenkins to automate deployments and manage data infrastructure.
  • Utilize Google Cloud Platform tools such as GitHub, Docker, and Kubernetes for seamless operations.

Collaboration:

  • Work with cross-functional Agile teams to develop data-driven solutions.
  • Provide guidance on best practices in data engineering and architecture.

Required Skills:

  • 5+ years of experience as a Data Engineer handling large-scale data processing.
  • Proficiency in SQL for data transformation and analytics.
  • Expertise in programming languages (Python, Java, Scala, or Go).
  • Knowledge of distributed computing and cloud platforms (AWS, Google Cloud Platform, Azure).
  • Familiarity with CI/CD tools like Jenkins and Terraform.

Preferred Skills:

  • Experience with real-time data streaming (Kafka or similar).
  • Knowledge of MLOps and ML pipeline optimization.
  • Background in retail and customer classification systems.
  • Familiarity with knowledge graphs, GraphQL APIs, and BI visualization tools.

Best Regards,

Vishal

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