Job Title:Senior Data Engineer

Employment Type:Full Time, PermanentPosition

Location: Hyderabad

Reports to: Software Development Manager (IT Solutions Delivery)

Qualifications: BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field

Total Experience: 7-10 years

Working Model: Work from office

Required Qualifications

- Azure data services hands-on experience with Event Hubs, Azure Functions, Azure Data Factory, ADLS Gen2, Key Vault, and Service Bus
- Power BI designing, building, and deploying dashboards and semantic models; Power BI deployment pipelines (devtestprod promotion); connecting reports to curated Lakehouse/ADLS data sources
- Infrastructure as Code Terraform for provisioning and managing cloud resources
- CI/CD pipelines— building and maintaining Azure DevOps pipelines (multi-stage, workplace gating, artifact promotion)
- Streaming / event-driven architecture— designing and operating real-time data pipelines (CDC, event streaming, consumer group patterns)
- Medallion / Lakehouse architecture— experience building RawValidCurated data layers
- SQL— T-SQL for data transformation and validation
- Source control discipline— feature-branch workflows, PR reviews, structured commit practices




- Python— production Python development (3.10+); building event-driven or streaming applications

Preferred Qualifications

- Kubernetes / AKS— deploying and operating workloads on Azure Kubernetes Service; Helm chart management
- Security-first data engineering— PII handling, tokenization patterns, Managed Identity (DefaultAzureCredential), private endpoints, RBAC. Experience integrating third-party tokenization SDKs or working with PII governance framework; understanding of tokenize/detokenize patterns in streaming pipelines
- Observability— OpenTelemetry instrumentation, Azure Monitor / Application Insights, custom telemetry dimensions
- Debezium / CDC— Change Data Capture from relational sources (Informix, SQL Server, etc.) into event streams
- Testing discipline— pytest, mocking external dependencies, contract/integration test patterns
- Python packaging—uv, dependency pinning, reproducible builds for serverless deployments
- Cross-repo platform thinking— working within a multi-repo data platform where pipelines, infrastructure, and application code are owned separately

📌 Senior Data Engineer (Hyderabad)
🏢 Intrics Solutions
📍 Hyderabad