Senior Azure Data Engineer
Role Overview
Build scalable, secure, and reliable cloud data platforms for enterprise analytics, reporting, and healthcare data initiatives.
The role lists 6–10 years of experience and full-time employment.
Key Skills for This Role
Full Job Posting
Role overview
Build scalable, secure, and reliable cloud data platforms for enterprise analytics, reporting, and healthcare data initiatives.
The role lists 6–10 years of experience and full-time employment.
Responsibilities
- Collaborate with product owners, stakeholders, architects, and engineers to deliver scalable data solutions.
- Design, develop, test, and maintain data engineering solutions using Databricks, Spark, Kafka, and cloud technologies; build batch and real-time pipelines.
- Develop ingestion, transformation, and integration frameworks; manage workflows with Apache Airflow and other orchestration tools.
- Develop APIs and data services; maintain Azure- or AWS-based cloud-native data platforms.
- Support CI/CD and DevOps automation; implement monitoring, logging, alerting, and operational excellence practices.
- Contribute to architecture decisions for scalability, resilience, performance, and security; resolve incidents and production issues.
- Participate in Agile ceremonies and delivery activities; ensure data quality, reliability, security, governance, and compliance.
Qualifications and expertise
- 6–10 years in data engineering and cloud data platform development; hands-on Azure or AWS experience.
- Extensive Azure Databricks experience; strong Kafka expertise for real-time streaming and event-driven architectures; hands-on Spark and distributed processing.
- Experience designing and supporting large-scale ETL/ELT pipelines; knowledge of relational and non-relational databases and modern storage platforms.
- Knowledge of reliability engineering and fault-tolerant architecture; experience with DevOps, CI/CD, configuration management, and deployment automation.
- Knowledge of Data-as-a-Service and Container-as-a-Service models; hands-on Apache Airflow and workflow orchestration experience.
- Working knowledge of RESTful APIs and integration patterns; experience supporting Snowflake analytical platforms.
- Strong troubleshooting, debugging, tuning, root cause analysis, Agile collaboration, communication, and stakeholder management skills.
Benefits
- Competitive salary and benefits package, learning and certification opportunities, flexible work hours, and employee engagement initiatives.
- Annual health check-ups and insurance coverage including life, personal accident, and hospitalization.
Work environment
- The employer says it supports hybrid work and flexible hours.
- The office is described as accessibility-friendly, with ergonomic setups and assistive technologies.
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