IT Lead Consultant | Data Management | Data Architecture
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
POC: Bharath Subramanya
******ATTENTION ALL SUPPLIERS******
READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 2 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job title: Sr GCP VME Engineer
Work Location: Anywhere in US
Vendor Rate: 70$ per hour
Minimum years of experience: 6
Would you require the candidates to meet you for in person interview No
Is Skype/WebEx interviewOK Yes ok
Is this onsite/remote position: Remote
If onsite will you be considering relocation candidates: NA
Does this position require Visa independent candidates only Yes
Job Description:
We are looking for a skilled Data Engineer with strong experience in designing building and optimizing data pipelines along with hands-on expertise in cloud security practices. The role requires deep knowledge of cloud platforms (Azure/AWS/GCP) secure data engineering frameworks and the ability to implement security controls across data platforms.
Key Responsibilities
Data Engineering
Design build and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Develop and optimize data models data lakes and data warehouses.
Work with big data technologies such as Spark Hadoop Databricks Kafka or equivalent.
Implement data quality and governance frameworks.
Collaborate with analytics product and engineering teams to deliver secure and reliable data solutions.
Cloud Platform & Infrastructure
Build and maintain cloud-based data solutions using Azure/AWS/GCP.
Manage cloud-native services such as Azure Data Factory AWS Glue BigQuery Redshift Synapse S3 etc.
Deploy infrastructure using IaC tools like Terraform CloudFormation ARM templates etc.
Implement monitoring logging and alerting for data pipelines and storage.
Cloud Security & Compliance
Implement and manage security best practices across cloud data environments.
Ensure compliance with organizational and regulatory standards (GDPR ISO SOC2 HIPAA etc.).
Configure and monitor IAM roles access controls encryption policies and network security for data platforms.
Work with security teams to perform risk assessments threat modeling and vulnerability remediation.
Enable data protection mechanisms such as data masking encryption at rest/in transit and secure key management. Project Code :Application Support Services HydSEZ1
******ATTENTION ALL SUPPLIERS******
READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 2 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job title: Sr GCP VME Engineer
Work Location: Anywhere in US
Vendor Rate: 70$ per hour
Minimum years of experience: 6
Would you require the candidates to meet you for in person interview No
Is Skype/WebEx interviewOK Yes ok
Is this onsite/remote position: Remote
If onsite will you be considering relocation candidates: NA
Does this position require Visa independent candidates only Yes
Job Description:
We are looking for a skilled Data Engineer with strong experience in designing building and optimizing data pipelines along with hands-on expertise in cloud security practices. The role requires deep knowledge of cloud platforms (Azure/AWS/GCP) secure data engineering frameworks and the ability to implement security controls across data platforms.
Key Responsibilities
Data Engineering
Design build and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Develop and optimize data models data lakes and data warehouses.
Work with big data technologies such as Spark Hadoop Databricks Kafka or equivalent.
Implement data quality and governance frameworks.
Collaborate with analytics product and engineering teams to deliver secure and reliable data solutions.
Cloud Platform & Infrastructure
Build and maintain cloud-based data solutions using Azure/AWS/GCP.
Manage cloud-native services such as Azure Data Factory AWS Glue BigQuery Redshift Synapse S3 etc.
Deploy infrastructure using IaC tools like Terraform CloudFormation ARM templates etc.
Implement monitoring logging and alerting for data pipelines and storage.
Cloud Security & Compliance
Implement and manage security best practices across cloud data environments.
Ensure compliance with organizational and regulatory standards (GDPR ISO SOC2 HIPAA etc.).
Configure and monitor IAM roles access controls encryption policies and network security for data platforms.
Work with security teams to perform risk assessments threat modeling and vulnerability remediation.
Enable data protection mechanisms such as data masking encryption at rest/in transit and secure key management. Project Code :Application Support Services HydSEZ1
