Divit Technologies, Inc.
Overview
Job Description:
Minimum Qualifications – Education & Prior Job Experience
Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training.
3 years of software solution development using agile, DevOps, and operating in a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
3 years of data analytics experience using SQL.
2 years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms is required:
Scripting: Python, PySpark, Unix, SQL
Data Platforms: Teradata, SQL Server, ADLS, Azure Data Explorer. Administration skills are a plus.
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Azure Functions.
CI/CD: GitHub, Azure DevOps, Terraform
BI Analytics Tool Stack: Cognos, Power BI
Preferred Qualifications – Education & Prior Job Experience
5 years of software solution development using agile, DevOps, and a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
3 years of data analytics experience using SQL.
3 years of full-stack development experience, preferably in Azure.
3 years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Airline Industry Experience.
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation, and creating consumption layers.
Azure Development Track Certification (preferred).
Spark Ce rtification (preferred).
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Minimum Qualifications – Education & Prior Job Experience
Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training.
3 years of software solution development using agile, DevOps, and operating in a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
3 years of data analytics experience using SQL.
2 years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms is required:
Scripting: Python, PySpark, Unix, SQL
Data Platforms: Teradata, SQL Server, ADLS, Azure Data Explorer. Administration skills are a plus.
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Azure Functions.
CI/CD: GitHub, Azure DevOps, Terraform
BI Analytics Tool Stack: Cognos, Power BI
Preferred Qualifications – Education & Prior Job Experience
5 years of software solution development using agile, DevOps, and a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
3 years of data analytics experience using SQL.
3 years of full-stack development experience, preferably in Azure.
3 years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Airline Industry Experience.
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation, and creating consumption layers.
Azure Development Track Certification (preferred).
Spark Ce rtification (preferred).
#J-18808-Ljbffr