Job Description

Software Developer - ETL Senior
Duration: 61, Ext- 250 Business Days
ETL Developer Skillset
Deliverables
Build and manage ETL/ELT pipelines in Microsoft Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault, Microsoft Sentinel and other accompanying Cloud tools while enforcing security.
Develop Databricks notebooks, jobs, dashboards and reports, integrating with Azure and Databricks data sources.
Skillsets
Hands-on with Azure and Databricks AI tools such as Document Intelligence. Open AI s embedding models, Databricks Vector Search index, Azure Machine Learning, Cognitive Services, and Databricks ML workflows.
Proficient with Azure DevOps for Git-based version control, CI/CD pipelines, and documentations via Wiki.
Design, consume, and integrate REST APIs for data ingestion and distribution.
ETL Developer
Evaluation Criteria
Microsoft/Azure Development and Quality Assurance Experience - 50%
Must have:
Hands-on with Azure and Databricks AI tools such as Document Intelligence. Open AI s embedding models, Databricks Vector Search index, Azure Machine Learning, Cognitive Services, and Databricks ML workflows.
Proficient with Azure DevOps for Git-based version control, CI/CD pipelines, and documentations via Wiki.
Design, consume, and integrate REST APIs for data ingestion and distribution.
Oracle RDMBS
Siebel Experience- 20%
Nice to have:
At least 2 years of experience with Siebel database model
Agile Delivery Team Experience - 15%
Experience participating in Scrum Agile development
Experience contributing as a Developer or Tester (QA) in a cross-functional or balanced team which is comprised of roles including Developers, Testers, product management, and design
Experience participating and contributing to task planning, daily stand ups, iteration demos, and review meetings
Providing input to project estimates and designs
Experience working with a team using concurrent development practices including GIT-based source control, feature branches, and DevOps CI/CD pipelines
Business Analysis - 10%
Experience with gathering business requirements
Experience translating business requirements into project delivery timelines and estimates
Experience in programming and analysis at the specified experience level
Experience in structured methodologies for the development, design, implementation, and maintenance of applications
Soft Skills - 5%
Excellent analytical, problem-solving, and decision-making skills;oral and written communication skills;interpersonal and negotiation skills
A team player with a proven track record for meeting strict deadlines
Highly developed interpersonal skills
Must have:
Hands-on with Azure and Databricks AI tools such as Document Intelligence. Open AI s embedding models, Databricks Vector Search index, Azure Machine Learning, Cognitive Services, and Databricks ML workflows.
Proficient with Azure DevOps for Git-based version control, CI/CD pipelines, and documentations via Wiki.
Design, consume, and integrate REST APIs for data ingestion and distribution.
Oracle RDMBS
Nice to have:
At least 2 years of experience with Siebel database model

Skills Required