Logix Guru
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 6-month remote contract, requiring advanced SQL, experience in data warehousing, and expertise in Kimball and Inmon techniques. Proficiency in Azure Data Factory, JavaScript, and NoSQL is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 28, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Java #GIT #Data Engineering #BI (Business Intelligence) #Slowly Changing Dimensions #NoSQL #SQL (Structured Query Language) #Snowflake #ADF (Azure Data Factory) #Azure cloud #"ACID (Atomicity #Consistency #Isolation #Durability)" #Data Modeling #Data Vault #Vault #Scrum #Security #Azure Data Factory #Cloud #Azure
Role description
Role: Data Engineer
Duration: 6 months Contract
Remote
Job description:
• Data Warehousing experience
• Applying Kimball and Inmon techniques such as DDS (dimensional data stores), ODS, slowly changing dimensions, etc.
• Data flow from source to target to dimension to BI tool
• Advanced SQL skills - mandatory
• DDL vs DML
• how to decompose data to 3NF,
• how to model relational data
• ACID transactions
• Basic performance and security knowledge
• CAP theorem
• Java Script - senior level
• Experience with non-relational/NoSQL data stores
• Translating technical requirements to solutions using code
• Snowflake exposure
• Intermediate experience and skills around Azure Cloud Technologies (Azure Data Factory)
• Source Control using Git/Git hub
• Pipelines - creating branches and merges
• Data Modeling experience a plus
• Data Modeling techniques
• Slowly changing dimensions
• Star schemas
• Data vault
• Comfortable in a scrum team environment - (4 analysts, 4 engineers)
• Self-Starter
Role: Data Engineer
Duration: 6 months Contract
Remote
Job description:
• Data Warehousing experience
• Applying Kimball and Inmon techniques such as DDS (dimensional data stores), ODS, slowly changing dimensions, etc.
• Data flow from source to target to dimension to BI tool
• Advanced SQL skills - mandatory
• DDL vs DML
• how to decompose data to 3NF,
• how to model relational data
• ACID transactions
• Basic performance and security knowledge
• CAP theorem
• Java Script - senior level
• Experience with non-relational/NoSQL data stores
• Translating technical requirements to solutions using code
• Snowflake exposure
• Intermediate experience and skills around Azure Cloud Technologies (Azure Data Factory)
• Source Control using Git/Git hub
• Pipelines - creating branches and merges
• Data Modeling experience a plus
• Data Modeling techniques
• Slowly changing dimensions
• Star schemas
• Data vault
• Comfortable in a scrum team environment - (4 analysts, 4 engineers)
• Self-Starter
