Job description

Individual to contribute to our transformation assuming accountability for data engineering lifecycle including research, proof of concepts, design, development, test, deployment, and maintenance of enterprise-scale data integration solutions leveraging Microsoft Azure PaaS offerings. Extensive experience working on Agile Scrum/DevOps teams employing latest CI/CD cloud-first best practices. Potential to become an SME on Platform capabilities (ingestion, storage, processing, and presentation patterns) and extend future-state strategic roadmap features.
What You’ll Do: Responsibilities
  • Provide technical direction to delivery scrum teams, extending patterns and establishing new ones as required.
  • Create and review technical designs of data integrations across various systems within enterprise and with external business partners over multiple transmission channels, data formats and processing patterns.
  • Extend/implement CICD pipelines and containerization strategy.
  • Responsible for ETL and SQL development using Domain Architecture and Interface based programming.
  • Build processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issues.
Skills Required:
  • Data engineer with in-depth knowledge of developing data-driven solutions using Azure App Services, Function Apps, API Service Management, Active Directory, Azure Storage, Data Factory, Databricks, RedisCache, SQL DB, Key Vault, Service Bus, Event Hub, and Application Insights.
  • Bachelor’s degree in computer science or related discipline; r Equivalent Work Experience.
  • 5+ years of experience leveraging SQL & cloud data storage technologies specifically Microsoft SQL & Azure offerings.
  • 5+ years of experience developing modern data ingestion tools/platforms/protocols (Kafka, APIs, EventHubs, ServiceBus etc.).
  • 5+ Experience with data integration best practices (ETL/ELT patterns, Data Factory, Streams Analytics etc.).
  • 5+ years of experience of ETL and SQL Programming.
  • 2+ years of experience of C# and T-SQL.
  • 3+ years of experience working with Microsoft Azure DevOps and CI/CD best practices.
  • 3+ years of experience working in an Agile Scrum environment.
  • Experience with various data structure optimization techniques on a Data Streaming Platform.
  • Experience with Power BI or other similar data visualization tools.
Nice to Have:
  • Experience with Machine Learning and Artificial Intelligence based solutions.
  • Knowledge of data regulations and compliance policies (e.g., HIPAA).
  • Data Visualization experience, or strong affinity for leveraging data to help transform/optimize business functions.
  • Big Data experience.
  • IT healthcare experience.
  • IoT experience.
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