Data Bricks Data Engineer
Role summary
Seeking a Data Engineer with expertise in Azure Databricks to design, develop, and optimize large-scale data processing workloads and pipelines. Responsibilities include leveraging Python, PySpark, and SQL for ETL/ELT processes, managing Azure infrastructure with Terraform and ARM templates, and implementing CI/CD workflows using GitLab and Azure DevOps. The role requires a strong understanding of Azure services, data governance frameworks, and containerization. Experience with legacy systems like IBM DataStage is a plus. This hybrid role emphasizes collaboration, problem-solving, and ensuring data quality and security.
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.
- 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.
Qualifications:
BACHELOR OF COMPUTER SCIENCE
