Data Engineering Analyst

Caring. Connecting. Growing together.

Primary Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing
• Build and optimize data models and data warehouses to support analytics and reporting
• Collaborate with analysts and software engineers to deliver high-quality data solutions
• Ensure data quality, integrity, and security across all systems
• Monitor and troubleshoot data pipelines and infrastructure for performance and reliability
• Contribute to internal tools and frameworks to improve data engineering workflows
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

Required Qualifications

• 5+ years of experience working on commercially available software and / or healthcare platforms as a Data Engineer
• 3+ years of solid experience designing and building Enterprise Data solutions on cloud
• 1+ years of experience developing solutions hosted within public cloud providers such as Azure or AWS or private cloud/container-based systems using Kubernetes/OpenShift
• Experience with some of the modern relational databases
• Experience with Data warehousing services preferably Snowflake
• Experience in using modern software engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc.
• Solid experience of operating in a quickly changing environment and driving technological innovation to meet business requirements
• Skilled at optimizing SQL statements
• Subject matter expert on Cloud technologies preferably Azure and Big Data ecosystem
  

Preferred Qualifications

• Experience with real-time data streaming and event-driven architectures
• Experience building Big Data solutions on public cloud (Azure)
• Experience building data pipelines on Azure with skills Databricks spark, scala, Azure Data factory, Kafka and Kafka Streams, App services, Az Functions
• Experience developing RESTful Services in .NET, Java or any other language
• Experience with DevOps in Data engineering
• Experience with Microservices architecture
• Exposure to DevOps practices and infrastructure-as-code (e.g., Terraform, Docker)
• Knowledge of data governance and data lineage tools
• Ability to establish repeatable processes, best practices and implement version control software in a Cloud team environment