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	Develop, implement, and maintain the information data lake and using insight platforms to enable decision support systems for the overall organization. Partner with the business and our customers to understand their data and reporting requirements.
	Bring data sets together to answer business questions and drive growth. Design ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications.
	Collaborate with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.
	Work with new technologies while driving business intelligence solutions end-to-end: business requirements, data modelling, ETL, metadata, reporting, and dashboarding.
	Apply expertise in the design, creation, management, and business use of large datasets.
	Defines SLA for all areas of ownership. Experience with Data modelling, SQL, ETL, Data Warehousing and Data lakes. Experience in writing SQL and Python scripts Experience in building dashboards and report using Microsoft Power BI

Industry	: IT
Job Type	: Permanent

	Experience in transforming data using Azure data factory.
	Experience working with Spark and Azure Databricks Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
	Strong verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
	Familiarity of scripting language such as Python, PySpark, or JavaScript Knowledge of Azure Databricks and MPP databases Experience with Data Lake development Exposure to NoSQL databases (such as Cosmos DB, MongoDB).
	Experience working on Microsoft Power BI dashboards.
	Experience following the Agile processes. Experience working with distributed version control system like Git.