Job Description

Description

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.

Experience Requirements

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


Supplier Comments

Closing Date/Time:

2025-12-18, 12:00 p.m.

Max submission: 1 (one)

Onsite

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

Additional Information - Candidates that are evaluated/shortlisted will be given the Technical Test before the interview.