Flexton Inc.

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 5-7 years of experience, including 3+ years in leadership. Requires Databricks Certification, expertise in Azure services, strong programming skills, and experience with data security measures. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Agile #Azure #Programming #Security #Terraform #ADF (Azure Data Factory) #Informatica #Apache Spark #REST (Representational State Transfer) #Azure Synapse Analytics #SQL (Structured Query Language) #Kubernetes #Data Processing #Python #Azure SQL #"ETL (Extract #Transform #Load)" #Compliance #Databricks #Delta Lake #Big Data #Azure Databricks #API (Application Programming Interface) #Scala #Synapse #Docker #Data Security #Leadership #Spark (Apache Spark) #Microservices #Data Engineering #Data Integration #Azure Data Factory #GraphQL #Microsoft Azure
Role description
5-7 years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role. • Should have databricks Certification • Proven experience leading product-centric data engineering initiatives in an agile delivery environment. • Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services. • Strong programming skills in Python, Scala, and SQL for data processing and API development. • Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices. • Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake. • Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code. • Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data. • Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization. • Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus. • Exposure to Informatica for ETL/ELT and data integration