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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 31st Oct 2023

• Designs and develops systems for the maintenance of the Data Asset Program(Data Hub), ETL processes, and business intelligence.
• Develop a new data engineering process that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architecture as needed.
• Design and supports the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data Marts.
• Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data hub and data warehouse table structure, which is optimized for reporting.
• The Data developers partners with Data modeler and Data architect in an attempt to refine the business’s data requirements, which must be met for building and maintaining Data Assets.
• Understanding of Agile methodologies and processes
• Preferred Skills:
• Advanced understanding of data integrations.
• Strong knowledge of database architectures
• Strong analytical and problem solving skills
• Ability to build strong relationships both internally and externally
• Ability to negotiate and resolve conflicts
• Ability to effectively prioritize and handle multiple tasks and projects
• Strong written and verbal communication skills
• Desire to learn, innovate and evolve technology
• Computer Skills/Ms Office/Software:
• Excellent computer skills and be highly proficient in the use of Ms Word, PowerPoint, Ms Excel, MS Project, MS Visio, and MS Team Foundation Server, which will all be necessary in the creation of visually and verbally engaging ETL, data designs and tables as well as the communication of documentation and reporting.
• Deep passion for data analytics technologies as well as analytical and dimensional modelling. The candidate must be extensively familiar with ETL (Extraction, Transformation & Load), data warehousing, and business intelligence tools such as business objects, Power BI and Tableau.
• The candidate must also have vast knowledge of database design and modelling in the context of data warehousing.
• Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB

 

Submit candidate with below skill matrix:

Skill

Required /Desired

Amount

of Experience

Exp you have

Designs and develops systems for the maintenance of the Data Asset Program(Data Hub), ETL processes, and business intelligence.

Required

10

Years

 

Develop a new data engineering process that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architect

Required

10

Years

 

Design and supports the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data

Required

10

Years

 

Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data hub and data

Required

10

Years

 

Advanced understanding of data integrations.· Strong knowledge of database architectures

Required

10

Years

 

Strong analytical and problem solving skills,· Ability to build strong relationships both internally and externally

Required

10

Years

 

Ability to negotiate and resolve conflicts,· Ability to effectively prioritize and handle multiple tasks and projects

Required

10

Years

 

Excellent computer skills and be highly proficient in the use of Ms Word, PowerPoint, Ms Excel, MS Project, MS Visio, and MS Team Foundation Server

Required

10

Years

 

Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of da

Required

10

Years

 

expertise in Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse

Required

10

Years

 

IBM DataStage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Data warehouse.

Required

10

Years

 

Operating System Environments (Windows, Unix, etc.).· Scripting experience with Windows and/or Python, Linux Shell scripting

Required

10

Years

 

Experience in Data Governance tools Information governance catalog, Collibra, Purview

Required

10

Years

 

Experience in AZURE Cloud engineering