Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 7-9 years of experience on Microsoft Azure, focusing on healthcare applications. Key skills include SQL, Python, Azure Data Lake, and experience in Agile environments. Remote position, pay rate unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Debugging #Programming #PostgreSQL #Database Design #Cloud #Scripting #Azure cloud #Data Lake #PHP #ADF (Azure Data Factory) #Jenkins #Microsoft Azure #Python #Snowflake #Requirements Gathering #SQL (Structured Query Language) #Data Engineering #dbt (data build tool) #Azure #Agile #Shell Scripting #GitHub #Data Analysis #Data Bricks
Role description
As an Data Engineer you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards . Responsibilities:- β€’ Overall, 7-9 years’ experience as Data Engineer on the Microsoft Azure cloud platform β€’ Strong understanding of Azure services and expertise on Data Lake, Data Factory and Data Bricks β€’ Healthcare industry experience preferred. β€’ Deep experience with SQL, database design, optimization, and tuning β€’ Experience with open-source relational database (e.g. PostgreSQL, MSSQL, etc.) β€’ Experience in Shell Scripting and one other object-oriented language such as Python, or PhP. β€’ Strong experience in continuous integration and development methodologies tools such as Jenkins, and experience using GitHub. β€’ Experience in an Agile development environment β€’ Programming skills particularly SQL, Shell Scripting, and Python β€’ Good oral and written communication skills Responsibilities: β€’ Managing data activities such as data requirements gathering, data analysis/modelling, and data issues resolution using standard approved technology β€’ Experience handling large volume of records and transaction loads. β€’ Experience in production support with debugging and troubleshooting and operational root cause analysis Experience:- β€’ 7-10 Years Location:- β€’ Remote Educational Qualifications: - β€’ Engineering Degree – BE/ME/BTech/MTech/BSc/MSc. β€’ Technical certification in multiple technologies is desirable. Skills:- Mandatory skills β€’ Snowflake, ADF, DBT, Python, Healthcare