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Senior Data Engineer (Google Cloud Platform)

Roha Tech LLC
Arizona, AZ Full Time
POSTED ON 4/2/2025 CLOSED ON 4/14/2025

What are the responsibilities and job description for the Senior Data Engineer (Google Cloud Platform) position at Roha Tech LLC?

Job Details

Dear Partners,
Greetings from Rohatech,
I hope you are doing well.
My name is Ravikanth, and I am reaching out to share an exciting job opportunity at RohaTech.
We are currently looking for an
Senior Data Engineer (Google Cloud Platform)
If you or someone you know possesses the required skills and is interested in this opportunity, please contact me at for further details.



Job Title: Senior Data Engineer (Google Cloud Platform)
Location: Phoenix, Arizona (Day 1 Onsite)
Experience: 9-10 years
Rate: $60-65/hr
Preferred: Ex-Amex candidates

Job Description:

We are seeking a highly skilled Senior Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to join our team in Phoenix, Arizona. The ideal candidate will have strong experience in big data processing, cloud-native solutions, and data pipeline development. Candidates with prior experience at American Express (Amex) are highly preferred.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes on Google Cloud Platform (Google Cloud Platform).

  • Work with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and other Google Cloud Platform services to process and analyze large-scale datasets.

  • Optimize and enhance data ingestion, transformation, and storage solutions for high performance and reliability.

  • Develop and maintain real-time and batch processing pipelines using tools like Apache Beam, Spark, Airflow, or Kafka.

  • Implement data governance, security, and compliance best practices.

  • Collaborate with cross-functional teams, including Data Scientists, Analysts, and DevOps teams, to improve data infrastructure.

  • Monitor and troubleshoot data pipeline performance issues and implement optimizations.

Required Skills & Qualifications:
  • 9-10 years of experience in Data Engineering with a strong focus on Google Cloud Platform.

  • Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions.

  • Strong programming skills in Python, Java, or Scala for data processing.

  • Expertise in SQL and NoSQL databases (e.g., Bigtable, Firestore, MongoDB).

  • Experience with Apache Airflow or similar orchestration tools.

  • Knowledge of CI/CD pipelines and Infrastructure as Code (IaC) using Terraform.

  • Strong understanding of data modeling, warehousing, and optimization techniques.

  • Experience working with large-scale data processing frameworks like Apache Spark or Apache Beam.

  • Prior experience in a financial domain or with American Express (Amex) is a strong plus.

Preferred Qualifications:
  • Google Cloud Platform Professional Data Engineer Certification is a plus.

  • Experience with Kubernetes (GKE) and containerization.

  • Familiarity with ML models deployment and feature engineering.

  • Strong problem-solving and analytical skills with a focus on performance tuning.

We appreciate your interest in joining our team and the time you took to submit your application
Can you Furnish the Below Details ASAP
Full Legal Name:-
Phone Number(No need Text-now / G-voice):-
Email:-
Linkedin:-
Current Location:-
Open to Relocation:-
Passport Number:-
Visa Status:-
DOB(Including Year):-
Total Experience:-
US Experience:-
Relevant Experience:-
Complete Education:-
Availability to Join:-
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Employer Details
Name
Email
Number
{2. Sr. Java Backend Developer
  • Experience: 9-10 years
  • Location: Phoenix, Arizona/Salt Lake City(Hybrid)
  • Rate: $60/hr
  • Preferred: Ex-Amex candidates/Solid profiles
Skills Required:
Strong hands-on experience with Spring Boot, Microservices, Vertex, and One data.}
Best Regard's
He/Him
Ravikanth
SENIOR RECRUITER

ROHATECH LLC

EMAIL:

PHONE; 1 | WHATSAPP ; 91 70360-12291

LINKEDIN;

ADDRESS; 2550 W Union Hills Dr, Suite 250, Phoenix, AZ, 85027

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $60 - $65

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