Senior Azure Data Engineer with Kafka, ElasticSearch experience

Hello Connections,

Hope you’re doing well!

Greetings from Enterprise Solution, INC.

Please find the detailed job description, and it will be really appreciated if you can share us your updated resume along with best contact number and Email Id to reach.

Job Title – Senior Azure Data Engineer with Kafka, ElasticSearch experience

Location – Irving, TX Hybrid

Duration – Contract

Pay rate $60-$65/hr.

Interview mode- In-person

Job Description:

Seeking a Senior Azure Data Engineer with 7 years of experience in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, to build scalable search and intelligent matching platforms, high-performance REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting enterprise-scale applications.

Responsibilities –

• We are seeking a Senior Software Engineer / Technical Consultant to design, build, and support client project, our enterprise search and intelligent matching platform. This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.
• The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications. The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.
• Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance. Develop intelligent search and matching capabilities for large-scale datasets.
• Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms. Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.
• Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization.
• Participate in architecture, design reviews, code reviews, and production support. Collaborate with product managers, architects, data scientists, and engineering teams

Mandatory skills

• 8 years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs. Strong experience with Elasticsearch in production environments.
• Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.
• Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices. Preferred Qualifications Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake. Experience with machine learning integration.
• Experience with semantic search or vector search. Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex. Mandatory Screening Criteria (Recruiters) Please submit only candidates who have: Strong Python backend development experience.
• Production Elasticsearch implementation experience. REST API development experience. Kafka or Confluent Cloud experience. Microsoft Azure deployment experience. CI/CD implementation experience.
• Experience building scalable backend services.

Interested?

If this opportunity aligns with your experience and career goals, please send your updated resume to [anuragc@enterprisesolutioninc.com].

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We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law