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Contract :: Required EXP 10+ :: Sr. Data Engineer - Remote - 1 Year Contract at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2307321&uid=

Hi,

I hope you are doing great.

I do have a consultant on my bench looking for an immediate project. Kindly see my consultant's resume attached below and do let me know, If the profile is suitable for this role.

Name: JITHENDRA

Experience: 9+

Visa Status:

Location: Denton , Texas Relocated Anywhere in US)

Role: Sr. Data Engineer

Name: Sumanth

Experience: 7+

Visa Status:

Location: Frisco, TX / NJ(Relocated Anywhere in US)

Role: Data Engineer

Note: Candidate will be providing all details and document

Thanks & Regards

Henry

SR.

Technical
Recruiter / Bench Sales

50 Cragwood Road, Suite 209, South Plainfield, NJ 07080

Email Id: [email protected]

LinkedIn:
linkedin.com/in/mohd-fahad-henry-b4bb95251

Office: 732 913 8429

Phone no: 9160443404

"Best way to reach me is by email"

From: [email protected] <[email protected]> on behalf of recruiter1klaxon <[email protected]>

Sent: Tuesday, April 1, 2025 3:58 PM

To: Anii Singh <[email protected]>

Subject: Contract :: Required EXP 10+ :: Sr. Data Engineer - Remote - 1 Year Contract

Job Title:
Sr. Data Engineer

Location: Remote (person works in EST hrs(Preferable in Indianapolis)

Type: 1 Year Contract

Job Description:

As
a Sr. Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization.

You
will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset.

Your
role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices.

A
strong emphasis will be placed on expertise in P, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities:

Provide
Technical Leadership:
Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges.

Build
and Maintain Data Pipelines:
Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as
Kafka, Databricks, and similar toolsets.

Drive
Digital Innovation:
Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.

Implement
Feature Engineering:
Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.

Implement
Automated Testing:
Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.

Optimize
Data Workflows:
Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments.

Mentor
Team Members:
Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities.

Draft
and Review Documentation:
Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.

Cost/Benefit
Analysis:
Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions.

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Keywords: artificial intelligence machine learning information technology card Idaho New Jersey Texas
Contract :: Required EXP 10+ :: Sr. Data Engineer - Remote - 1 Year Contract
[email protected]
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06:43 PM 02-Apr-25
Attached File(s):
Jithendra P Sr.Data Engineer_1743599607510.docx
SaiSumanth_UADE_Resume_1743599607516.pdf
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