Data Bricks Data Engineer

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.

• • 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.

• 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

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Role: Senior Engineer

Desired skills: Datastage

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 8 - 15 Years

• Job function: TECHNOLOGY

• Location: Seattle, WA

Salary range: $120,000–$140,000

Apply by: 2026-08-24 00:00:00