My client is hiring for below role let me know if you have candidates?

Role: Big Data Engineer

Location: Plano, TX

Contract: 10 months with possible extension

Client Capital ONE

Need local Plano, TX candidate

Need Ex cap one

We can accept ead, h4, visa transfer H1B, USC, GC

The hiring team is particularly interested in candidates with the following experience:

Strong experience with Big Data technologies and large-scale data environments.

Proficiency in Python is preferred, along with experience in Java. Candidates who are highly skilled in one primary programming language should also have working knowledge of the other.

Strong SQL skills and experience working with complex data environments.

Hands-on experience with AWS and cloud technologies, including cloud-based data solutions and services.

Experience designing, developing, and supporting data pipelines and data orchestration workflows.

A strong Data Engineering background, with experience building and supporting scalable data solutions.

Experience working in an Agile engineering environment and collaborating effectively with cross-functional teams.

Hands-on experience with Kafka and event-streaming technologies.

Experience with Spark for large-scale batch processing and distributed data workloads.

Previous Capital One experience is highly preferred and considered extremely important. Given the pace and immediate needs of the migration project, candidates with prior Capital One experience will be better positioned to hit the ground running with minimal ramp-up time and quickly understand the organization's environment, processes, and technical landscape.

Interview Details ------

Resume Review Date: Friday, July 31st

Power Interview Date: N/A

Target Date to Schedule Interviews: Within next week

Interview Process: One round within 1-Hour. Will be asking questions about previous Capone experience.

Technical Assessments Required: Technical Questions with Coding questions.

Job Description ------  (Former CapOne Mandatory and only local candidates)

 Key Responsibilities

Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency.

Collaborate with Agile engineering teams to architect and implement end-to-end data solutions, from data ingestion and workflow orchestration through event streaming and downstream data delivery.

Required Qualifications

4+ years of experience building or operating data pipelines and orchestration systems.

4+ years of data or application engineering experience with Java, Python, and SQL.

4+ years of experience building and operating real-time or event-driven data systems.

4+ years of experience working with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent platforms.

4+ years of experience with cloud-based data warehousing platforms at scale.

4+ years of experience working with cloud platforms such as AWS, Azure, or GCP.

3+ years of experience with pipeline scheduling and workflow orchestration tools.

2+ years of experience implementing secure secrets management and credential handling in production environments.

2+ years of experience working in Agile engineering environments.

Familiarity with data observability practices, including monitoring, alerting, SLA tracking, and data quality frameworks.

Experience working in financial services or other regulated, compliance-driven industries.