Data Engineer

Job Description

Must Have Technical/Functional Skills

• 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.

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 soluti ons meet data governance, lineage, and compliance requirements.

• Operations Support and Oncall Support for Production Issues and Deployments.

Base Salary Range : $125,000 to $135,000 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.