ANSR is hiring for one of its clients About ArcelorMittal ArcelorMittal was formed in 2006 from the strategic merger of European company Arcelor and Indian-owned Mittal Steel Over a journey of two decades we have emerged as the world s leading steel and mining company exerting our influence across 60 countries with a robust industrial footprint in 18 We are a global team of 158 00 talented individuals committed to building a better world with smarter low-carbon steel Our strategies are not just about scale they re also about leading a transformative change where innovation meets sustainability We supply to major global markets from automotive and construction to household appliances and packagingsupported by world-class R D and distribution networks ArcelorMittal Global Business and Technologies in India is our new hub of technological innovation and business solutions Here you ll find a thriving community of business professionals and technologists who bring together diverse and unique perspectives and experiences to disrupt the global steel manufacturing industry This fusion ignites groundbreaking ideas and unlocks new avenues for sustainable business growth We nurture a culture fueled by an entrepreneurial spirit and a passion for excellence which prioritizes the advancement and growth of our team members With adaptable career pathways and access to the latest technology and business tools we offer a space where you can learn take ownership and face exciting challenges every day Position Summary Senior Engineer Responsibilities Analyse business needs local IT or MES Coe Architects acting as Product Owner and translate them into technical requirements Develop ETL processes in Microsoft Azure ecosystem and make data available in Power BI for Dashboarding Ensure data integrity and on-time refresh between PSI Azure Power BI Ensure secured data segregation in Azure Power BI Deliver insightful dashboards in Power BI manage the sharing environments workspaces apps Required Skill Azure Databrick or Azure Synapse or Azure Data Factory ETL Power BI workspace administration and Dashboarding manage authorization of the data drawn from Data Lake Preferred Skill Python scripting Qualification and Experience Experience 4-6 Years Microsoft Azure products Azure Synapse Analytics including dedicated SQL pools data integration pipelines Synapse Spark notebooks etc Azure Databricks with PySpark Azure Data Factory SQL and related data services Other competencies in Azure ecosystem Data governance segregation and security best-practices Overall performance monitoring and tuning capabilities ETL processes in general SQL environments old Azure SQL data warehouse Azure Datalake and Bigdata Power BI Workspace administration data ingestion authorizations Dashboarding Soft-skills Problem-solving Interest ability to understand the underlying business Production Logistics Finance Ability to discuss with various stakeholders popularize technical concepts for non-IT people Demonstrable experience applying agile mythologies SCRUM Good team player Good communication and documentation skills