Extend Information Systems Inc.

Azure Databricks Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Developer in Branchville, NJ (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Databricks, Apache Spark, Python, SQL, and insurance domain knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Branchville, NJ
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🧠 - Skills detailed
#Databricks #"ETL (Extract #Transform #Load)" #Agile #PySpark #Azure #SQL Server #Python #Databases #Spark (Apache Spark) #XML (eXtensible Markup Language) #SQL (Structured Query Language) #ADF (Azure Data Factory) #Apache Spark #Code Reviews #Documentation #Informatica #JSON (JavaScript Object Notation) #MS SQL (Microsoft SQL Server) #Azure Databricks #Jira
Role description
Job Title: Azure Databricks Developer Job Location: Branchville, NJ (Hybrid) Job Description Technical Skills Primary • Primary Technologies Azure Databricks pyspark python • Database Technologies SQL MS SQL Server Relational Databases • Adherence to Application Development Documentation Best Practices • Experience in conducting Design Code Reviews • Strong experience on ETL concepts • Strong Hands on coding experience on primary technology • Technical Skills Secondary Nice to have NOT MANDATORY • Understanding on ADF platform and framework • Experience on working with XML JSON file • Experience on Informatica PC • Familiar with Agile software development methodologies preferable JIRA Soft Skills • As this is an onsite role must have strong written and oral communication skills • Insurance Domain Knowledge • Strong ability to work with client stakeholders • Requirement Review and Work Effort Estimation • Ability to manage offshore team work and code review • Ability to understand usercustomer requirement and provide technical solution Skills Mandatory Skills : Apache Spark, Databricks, Python, Python for DATA, SparkSQL