
Resource Logistics
Charlotte, North Carolina • Today
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Resource Logistics
Charlotte, North Carolina • Today
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Third Party, Contract
Depends on Experience

Lorven Technologies, Inc.
Charlotte, North Carolina • 6d ago
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Full-time, Third Party
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Lorven Technologies, Inc.
Charlotte, North Carolina • 3d ago
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Central Business Solutions
Charlotte, North Carolina • 10d ago
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Contract
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Mitchell Martin, Inc.
Hybrid in Charlotte, North Carolina • 13d ago
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Hi,
We are hiring for an exciting opportunity with our client, Please find the job details below.
Position: Google Cloud Platform Data Lead
Location: Charlotte, NC
Job Description:
We are looking for an experienced Google Cloud Platform Data Lead with strong hands-on expertise in Big Data, Data Engineering, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and event-processing solutions, supporting banking and Financial Crimes Compliance platforms.
Key Responsibilities:
Design, develop, and optimize large-scale data pipelines using Google Cloud Platform and Big Data technologies.
Provide technical and engineering expertise to the team for developing banking features, particularly in Financial Crimes and Anti-Money Laundering (AML) platforms.
Build and maintain event-processing pipelines using Kafka or Google Cloud Platform Pub/Sub.
Develop scalable data processing and transformation solutions.
Optimize SQL queries, database systems, and data models for performance and scalability.
Improve engineering practices through automation, resilience, and continuous improvement.
Collaborate with product teams and cross-functional stakeholders to deliver technology-driven solutions.
Participate in Agile/Scrum ceremonies and follow established SDLC methodologies.
Required Technical Skills:
Google Cloud Platform (Google Cloud Platform): BigQuery, Cloud Composer/Airflow, Dataproc, Pub/Sub.
Big Data: Hadoop, Hive, Apache Spark.
Programming: Python, Shell Scripting, Object-Oriented Programming.
Data Engineering: Data Pipelines, Data Modeling, ETL/ELT, Large-Scale Data Processing.
Event Streaming: Apache Kafka, Google Cloud Platform Pub/Sub.
Database: Strong SQL and relational database concepts.
DevOps & CI/CD: Git, GitHub, Jenkins, XLR, Automated Testing Frameworks.
Strong understanding of distributed systems, algorithms, and design patterns.
Preferred Qualifications:
Google Cloud Platform Professional Data Engineer certification is a plus.
Experience in banking, Financial Crimes Compliance, or Anti-Money Laundering (AML) platforms.
Experience working in Agile/Scrum environments.
Strong problem-solving, communication, and collaboration skills.
Interested candidates, please share the following details:
Updated Resume
Current Location
Expected Rate
Availability to Start
Please feel free to reach out if you are interested or know someone suitable for this opportunity.
Best Regards,
Shalu
IT Recruiter
To see how well you match this job, please log in or create an account.
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Charlotte, North Carolina
•
2d ago
Job Description Details BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. 5+ years of hands-on software development experience with Big Data & Analytics solutions Google Cloud Platform Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting, Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data an
Easy Apply
Contract
Depends on Experience
Charlotte, North Carolina
•
Today
Role: Google Cloud Platform Data Engineer Location: Charlotte, NC 12+ months Face to Face interview is required. Handle data migration and pipeline modernization to support ML training and inference on Google Cloud Platform. MUST-HAVE Strong Spark + Python (MANDATORY) Experience with: Data migration (on-prem cloud) HDFS / NFS / SQL Server / object stores Hands-on with: Data pipelines (batch/streaming) Data quality, schema, lineage Google Cloud Platform exposure: BigQuery + Cloud Storage GOOD
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Contract
60 - 70
Charlotte, North Carolina
•
23d ago
Job OverviewWe are seeking highly experienced Lead Data Engineers, Principal Data Engineers, and Data Architects with 15+ years of experience designing, developing, and implementing enterprise-scale data engineering solutions across AWS and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have extensive experience in cloud data architecture, large-scale data processing, distributed computing, data pipeline development, and technical leadership. We offer H-1B transfer spons
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Contract
Depends on Experience
Remote
•
Yesterday
Sr. Google Cloud Platform Data Engineer Remote We are looking for a Sr. Google Cloud Platform Data Engineer/Cloud Function Dev for our direct client for a Long Term Remote Project. We need experienced contractors with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and support cloud-native data and integration solutions. Key Responsibilities Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform.Develop serverless solution
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Contract, Third Party
Depends on Experience