From: shiv-chandra-c2c-requirement@googlegroups.com <shiv-chandra-c2c-requirement@googlegroups.com>On Behalf OfRohit Dewatwal <rdewat.millennium@gmail.com>
Sent: Monday, August 11, 2025 6:59:30 PM (UTC+05:30) Chennai, Kolkata, Mumbai, New Delhi
To: Rohit Dewatwal <rdewat.millennium@gmail.com>
Subject: Shiv Chandra Requirment - Get Placements- GCP Data Engineer - Bethpage, NY
Hi Professionals,
Hope you all doing great,
Kindly share suitable Resumes for this role,
Position Title : Data Engineer
Duration : 6+ Months (possible extension)
Location Address : Bethpage, NY
Rate: $80/Hour
Job Description:
Key Responsibilities:
• Data Pipeline Design and Implementation:
Develop and implement scalable and reliable data pipelines using GCP services like BigQuery, Dataflow, Cloud Storage, and Composer.
• Medallion Architecture Implementation:
Design and implement the bronze, silver, and gold layers within the Medallion architecture to organize and process data effectively.
• Data Storage and Processing:
Implement data storage solutions and optimize data processing workflows using appropriate GCP tools and technologies.
• Data Quality and Security:
Ensure data quality, integrity, and security throughout the data lifecycle, including data validation, cleansing, and access control.
• Collaboration and Communication:
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective data solutions.
• Monitoring and Maintenance:
Monitor and maintain the health of the data infrastructure, troubleshoot and resolve data-related issues, and ensure optimal performance.
• Staying Updated:
Keep up to date with the latest GCP features, data engineering best practices, and advancements in data architecture.
• Data Governance:
Implement data governance strategies to ensure compliance with industry standards and best practices.
Skills and Qualifications:
• GCP Expertise:
Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, and Composer.
• Medallion Architecture:
Solid understanding of the Medallion architecture principles and best practices.
• Data Engineering:
Proven experience in data engineering, including data warehousing, ETL processes, and data modelling.
• Programming Languages:
Proficiency in programming languages like Python, SQL, and potentially Apache Beam (for Dataflow).
• Problem-Solving:
Strong problem-solving and analytical skills to troubleshoot and resolve data-related issues.
• Communication:
Excellent communication and collaboration skills to work effectively with various teams.
• Cloud Architecture:
Knowledge of cloud architecture best practices, including scalability, reliability, and security.
• Data Modelling:
Experience with data modelling techniques and tools.
In essence, a GCP Data Engineer focused on Medallion Architecture is a key player in building and managing data platforms on GCP, leveraging the Medallion pattern to ensure data quality, efficiency, and accessibility for various data consumers.
-- Hope you all doing great,
Kindly share suitable Resumes for this role,
Position Title : Data Engineer
Duration : 6+ Months (possible extension)
Location Address : Bethpage, NY
Rate: $80/Hour
Job Description:
Key Responsibilities:
• Data Pipeline Design and Implementation:
Develop and implement scalable and reliable data pipelines using GCP services like BigQuery, Dataflow, Cloud Storage, and Composer.
• Medallion Architecture Implementation:
Design and implement the bronze, silver, and gold layers within the Medallion architecture to organize and process data effectively.
• Data Storage and Processing:
Implement data storage solutions and optimize data processing workflows using appropriate GCP tools and technologies.
• Data Quality and Security:
Ensure data quality, integrity, and security throughout the data lifecycle, including data validation, cleansing, and access control.
• Collaboration and Communication:
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective data solutions.
• Monitoring and Maintenance:
Monitor and maintain the health of the data infrastructure, troubleshoot and resolve data-related issues, and ensure optimal performance.
• Staying Updated:
Keep up to date with the latest GCP features, data engineering best practices, and advancements in data architecture.
• Data Governance:
Implement data governance strategies to ensure compliance with industry standards and best practices.
Skills and Qualifications:
• GCP Expertise:
Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, and Composer.
• Medallion Architecture:
Solid understanding of the Medallion architecture principles and best practices.
• Data Engineering:
Proven experience in data engineering, including data warehousing, ETL processes, and data modelling.
• Programming Languages:
Proficiency in programming languages like Python, SQL, and potentially Apache Beam (for Dataflow).
• Problem-Solving:
Strong problem-solving and analytical skills to troubleshoot and resolve data-related issues.
• Communication:
Excellent communication and collaboration skills to work effectively with various teams.
• Cloud Architecture:
Knowledge of cloud architecture best practices, including scalability, reliability, and security.
• Data Modelling:
Experience with data modelling techniques and tools.
In essence, a GCP Data Engineer focused on Medallion Architecture is a key player in building and managing data platforms on GCP, leveraging the Medallion pattern to ensure data quality, efficiency, and accessibility for various data consumers.
Thanks..
Rohit Drewatwal
rdewat.millennium@gmail.com
rdewat.millennium@gmail.com
visit on my website for daily 100+ requirements with different vendor -
https://usitrecruiter-solution-point.blogspot.com/
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