Data Bricks Data Engineer

Tata Consultancy Services

United States

United States

About

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.
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United States

Languages

English

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