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Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St. Louis, MO / Charleston, SC / Arlington, VA
Fulltime
Salary Range: $120,000-$140,000 a year
Job Description
Must Have Technical/Functional Skills
" Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
" Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure
Data Bricks ETL.
" Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
" Strong programming skills in Python and PySpark.
" Advanced proficiency writing SQL for analytics and ETL processes.
" Proven experience building and optimizing complex data pipelines in Azure.
" Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
" Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
" Experience with container services (ACA, container instances) and containerized data workloads.
" Familiarity with Azure networking concepts and secure network integration for data platforms.
" Experience creating Azure infrastructure using ARM templates.
" Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
" Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
" Experience working in Agile teams and understanding of data governance frameworks.
Responsibilities
" Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
" Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
" Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
" Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
" Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
" Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
" Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
" Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
" Collaborate with networking and security teams to design and implement Azure networking for data solutions.
" Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
" Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
" Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
" Ensure solutions meet data governance, lineage, and compliance requirements.
" Operations Support and Oncall Support for Production Issues and Deployments.
" Excellent communication Skills
" Ability to collaborate with Legacy and Modernize application teams and stake holders
Desired Skills: Datastage
Thanks & Regards,
Shashi Bhushan
Sr. Manager
Delivery and Client Relations
Diverse Lynx LLC |300 Alexander Park|Suite #200|Princeton , NJ 08540
Phone : 732-694-3392
Whatsapp : +91-9540037979
Email:
| URL:
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Sprachkenntnisse
- English
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