We expect the candidate to have strong data engineering and data modeling knowledge
Required Skills: 6+ years of experience in Business Intelligence, Data Engineering, or related roles
Hands-on experience with Azure services including Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics
Excellent oral and written communication skills with ability to independently engage all stakeholders at onsite and offshore Skilled with data analysis, data visualization and reporting & analytics
Strong understanding of SDLC and best development practices
Experience in Agile/Scrum methodologies and project management tools such as Jira
Certifications in relevant BI and cloud technologies (preferably Azure) are a plus
Knowledge of Microsoft Fabric (preferred)
Desired Skills (Good To Have): Data modeling (Native HANA), TDV, SQL Scripting Experience of ETL tools, preferably Talend
Responsibilities: * Responsible for designing relational and non-relational data stores on Azure
* Responsible for designing and developing solutions in Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQL Server, HDInsight
* Gather and process raw data at scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc) * Responsible for developing data set processes for data modeling, mining and production
* Responsible for building reusable models using Power BI Datasets and visualizations in Power BI
* Responsible for maintaining Raw and Curated Zones on ADLS and maintaining data temperatures across storage areas
* Responsible for cost analysis and optimization of Azure resources used in BI Landscape and for designing governance solutions to make sure that the resources are used in an optimal and cost-effective manner
* Responsible for supporting our Software Developers, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
