[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Seattle, WA # Data Bricks Data Engineer Seattle, WA $120,000 to $140,000 Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/418753J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Data Bricks Data Engineer ## 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. - 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. ### Base Salary Range $120,000 to $140,000 Per Annum TCS Employee Benefits Summary: Discretionary Annual Incentive. ### Comprehensive Medical Coverage Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. ### Family Support Maternal & Parental Leaves. ### Insurance Options Auto & Home Insurance, Identity Theft Protection. ### Convenience & Professional Growth Commuter Benefits & Certification & Training Reimbursement. ### Time Off Vacation, Time Off, Sick Leave & Holidays. ### Legal & Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN