Data Engineer

Data Bricks Data EngineerLocation: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St. Louis, MO / Charleston, SC / Arlington, VADuration: FulltimeJob Description:• 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 Databricks ETL.• Ensure and lead the efforts to review legacy Data Stage legacy code and migrated Databricks 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.• Hands-on experience provisioning Databricks resources with Terraform; ability to author and maintain Terraform templates and modules.• Demonstrated experience implementing cluster autoscaling and autoscaling policies through Terraform.• Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends).• Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization.• Experience configuring high-availability Databricks deployments and operating across multiple availability zones/regions.• Familiarity with Metastore/Unity Catalog configuration and metadata governance in Databricks.• Hands-on experience building data pipelines and ingestion workflows into medallion-layer architectures (bronze/silver/gold).• Strong scripting skills (Python, Bash, or similar) and familiarity with CI/CD for Terraform and Databricks deployments.• Strong troubleshooting, performance tuning, and cost optimization skills.Responsibilities:• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.• 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.If you are interested, please send me your updated resume ASAP with below details:Full Name:Current Location/Zip:Contact Number:E-Mail Id:Alternate Email Id:Visa/Work Permit Status:Current Rate/Salary:Expected Base Salary:Notice Period/Availability to Start:Skype ID:Willingness to relocate to job location:Any Relocation Concern (family/house/weather):Current/Previous Employer Name:Preferred Interview timings (Specify Time zone):Any other job opportunity in process & at which stage:Overall Experience Summary:LinkedIn URL:Looking forward for your response..Thanks and Regards,Kashish AgarwalJconnect Infotech Inc.168 Barclay Center Ste. 347,Cherry Hill, NJ 08034Email: View email address on click.appcast.io ID: