Job Seekers, Please send resumes to resumes@hireitpeople.com

1. Must have at least 8+ years of setting up and implementation of Azure Data Lake and Azure Data Factory
2. Must have at least 4+ years of Python and Apache Spark development experience.
3. Must be amenable to coordinate with offshore and onshore teams

1. Azure Cognitive Search
2. PowerBI

• Design and develop new solutions on the Azure Platform specifically for Azure SQL Data Warehouse/DB, Azure Data Factory, Blob Storage using Python and Apache Spark
• Experience of using PowerBI will be a plus
• Familiarity with Azure Cognitive Search will be a major plus
• Analyse data pipeline requirements with relevant stakeholders, including data scientists, end users and data custodians
• Prepare plans to address non-functional requirements, including security, AD, integration, performance, scalability, and data federation in a hybrid cloud architecture
• Work and support projects using Agile methodology using JIRA Confluence
• Ability to mentor team members and provide technical leadership to project team(s) to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues
• Interact and communicate effectively with all levels of staff, senior management and clients/stakeholders
• 2+ years of in-depth technical knowledge/expertise in the following Azure services; Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data Factory, Blob Storage
• Experience of at least 2 to 3 projects
• Hands on expertise in ADF, ADL, DB
• Expert in Python and Apache Spark
• Experience of accessing data using APIs
• Experience on Data Modelling
• Ability to translate the business requirements to Functional/technical Specs

Minimum years of experience: 8+

Certifications Needed: No but a plus

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

1. Design and develop new solutions on the Azure Platform specifically for Azure SQL Data WarehouseDB, Azure Data Factory, Blob Storage using Python and Apache Spark
2. Analyse data pipeline requirements with relevant stakeholders, including data scientists, end users and data custodians
3. Prepare plans to address nonfunctional requirements, including security, AD, integration, performance, scalability, and data federation in a hybrid cloud architecture

Does this position require Visa independent candidates only? No