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Senior Google Cloud Platform Data Engineers Job Opening In New York City – Now Hiring ePATHUSA Inc


Job description

Seeking Senior Google Cloud Platform Data Engineers to design, develop, and maintain robust data pipelines that transform raw data into valuable insights, as well as: Design, develop, and maintain data pipelines using GCP services like Dataflow, Dataproc, and Pub/Sub, in addition to developing and implementing data ingestion and transformation processes using tools like Apache Beam and Apache Spark.

Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.

Monitor and troubleshoot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring tools.

Collaborate with data experts, analysts, and product teams to understand data needs and deliver effective solutions.

Automate data processing tasks using scripting languages like Python.

Requirements Skills Required/Preferred Years Candidate Experience Must have 12 year plus of IT experience.

Required 12+ Must have 4+ years of Recent experience (With in last 6 years / since 2019) working for a Major Bank or Brokerage house in the US working with GCP.

Required 4+ Must have 8 plus years of experience as a Data Engineer designing, developing, and deploying data pipelines.

Required 8+ Must have 5 plus years of experience with Google Cloud Platform (GCP).

Required 5+ Must have 5 plus years of experience with GCP services Dataflow, Dataproc, and Pub/Sub, Required 5+ Must have 5 plus years of experience with core data services GCS, BigQuery, Cloud Storage, and Dataflow.

Required 5+ Must have 5 plus years experience managing and optimizing data storage Big Query, Cloud Storage, and Cloud SQL.

Required 5+ Must have 5 plus years implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.

Required 5+ Must have 5 plus years of experience with Python & SQL for data manipulation and querying Required 5+ Must have 5 plus years of experience with the distributed data processing framework Apache Beam and Apache Spark.

Required 5+ Experience with data security and access control principles Required Benefits Benefit Package includes: Paid Sick Time Insurance for Medical, Dental, Vision and Life Available 401(k) including Employer Match HSA, Short-term & Long-term Disability Available We are an EEO/Veterans/Disabled employer

10+ years
Skills Required/Preferred Years Candidate Experience Must have 12 year plus of IT experience.

Required 12+ Must have 4+ years of ‘Recent’ experience (With in last 6 years / since 2019) working for a Major Bank or Brokerage house in the US working with GCP.

Required 4+ Must have 8 plus years of experience as a Data Engineer designing, developing, and deploying data pipelines.

Required 8+ Must have 5 plus years of experience with Google Cloud Platform (GCP).

Required 5+ Must have 5 plus years of experience with GCP services Dataflow, Dataproc, and Pub/Sub, Required 5+ Must have 5 plus years of experience with core data services GCS, BigQuery, Cloud Storage, and Dataflow.

Required 5+ Must have 5 plus years experience managing and optimizing data storage Big Query, Cloud Storage, and Cloud SQL.

Required 5+ Must have 5 plus years implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.

Required 5+ Must have 5 plus years of experience with Python & SQL for data manipulation and querying Required 5+ Must have 5 plus years of experience with the distributed data processing framework Apache Beam and Apache Spark.

Required 5+ Experience with data security and access control principles Required

Required Skill Profession

Other General


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ePATHUSA Inc adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in New York City. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Google Cloud Platform Data Engineers?

Key qualifications for Senior Google Cloud Platform Data Engineers typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Google Cloud Platform Data Engineers Job Success

ePATHUSA Inc interview tips for Senior Google Cloud Platform Data Engineers

Here are some tips to help you prepare for and ace your Senior Google Cloud Platform Data Engineers job interview:

Before the Interview:

Research: Learn about the ePATHUSA Inc's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Google Cloud Platform Data Engineers interview at ePATHUSA Inc, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ePATHUSA Inc's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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