IT - Lead Consultant | Data Management | Data Architecture

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 submissionsLimited to 2 submission per supplier. Please submit your best.We prioritize endorsing those with complete and accurate informationAvoid submitting duplicate profiles. We will Reject/Disqualify immediately.Make sure that candidate's 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 EngineerWork Location: Anywhere in USVendor Rate: 70$ per hourMinimum years of experience: 6+Would you require the candidates to meet you for in person interview? NoIs Skype/WebEx interview,OK? Yes okIs this onsite/remote position: RemoteIf onsite, will you be considering relocation candidates: NADoes 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 ResponsibilitiesData EngineeringDesign, 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 & InfrastructureBuild 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 & ComplianceImplement 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