Sr Administrator (Support & Operations) (IN)

Job Title: Data Integration Engineer – Level 2

Job Summary

We are seeking a highly skilled Data Integration Engineer (Level 2) to design, build, and manage enterprise-scale data integration solutions on Azure. This role requires strong expertise in cloud-native data services, integration patterns, DevOps practices, and L2 production support to ensure reliability, performance, and scalability of data platforms.

Key Responsibilities

Design, develop, and maintain end-to-end data integration solutions across enterprise systems.

Build scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Data Flows.

Develop high-performance data processing solutions using Azure Databricks (ADB) and Python.

Implement event-driven architectures using Azure Service Bus.

Develop and manage serverless applications using Azure Functions.

Design and expose APIs using Azure API Management (APIM).

Build and maintain NoSQL data solutions using Cosmos DB.

Manage secure access to secrets and credentials using Azure Key Vault.

Monitor and troubleshoot applications using:

Azure Application Insights

Log Analytics Workspace

Deploy and manage containerized applications using Azure Kubernetes Service (AKS).

Implement CI/CD pipelines using Azure DevOps and GitOps practices via ArgoCD.

Automate infrastructure provisioning and configuration using Terraform.

Ensure effective use of Azure services for integration (eventing, messaging, API, compute).

Provide Level 2 (L2) operational support, including:

Incident management and resolution

Root cause analysis (RCA)

Performance optimization and system tuning

Collaborate with architects, data engineers, and business stakeholders to deliver robust solutions.

Implement best practices for security, monitoring, governance, and reliability.

Must-Have Skills & Experience

Strong experience in Data Integration / Data Engineering.

Hands-on expertise in:

Azure Data Factory (ADF), Azure Databricks

Confluent Kafka, Azure Event Hubs, Azure Service Bus Explorer

Real-time data processing, Event-Driven Architecture, CDC, Micro-batch & Continuous Streaming

Cosmos DB, Azure Blob Storage, Azure SQL, SQL

PySpark, Python

CI/CD Pipelines, Azure DevOps, Git, ETL Deployments

Azure Monitor, Application Insights, Log Analytics, Alerts creation, Metrics analysis

Azure Kubernetes Service (AKS)

Control-M, Postman, Datadog

Experience with:

Azure Functions

Azure Service Bus

Azure API Management (APIM)

Cosmos DB

Monitoring and observability tools:

Security:

Azure Key Vault

Containerization and orchestration:

DevOps & deployment:

Azure DevOps

ArgoCD

Infrastructure as Code:

Terraform

Strong understanding of Azure services related to integration (messaging, APIs, serverless, data pipelines).

Experience in performance tuning and cost optimization on Azure.

Exposure to API-led and microservices-based architectures.

Proven operations/support (L2) experience in production environments.

Good understanding of:

Distributed systems

Data modelling & data warehousing

Cloud architecture and scalability patterns

Good-to-Have Skills

Experience with legacy or enterprise ETL tools:

IBM DataStage

Advanced monitoring/observability tools:

Datadog

Splunk

Knowledge of hybrid integration patterns.