Job
Description
ANSR is hiring for one of its client. 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 packaging—supported 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 flexible 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: Engineer - Azure Data Developer We are seeking a skilled and motivated Azure Data Developer to join our team. The ideal candidate will have strong experience working with Azure Synapse Analytics, familiarity with Azure Databricks, and a solid understanding of SAP BW data structures and reporting tools such as Power BI or Tableau. This role will contribute to the development, optimization, and support of our cloud data platform and reporting infrastructure. Activities: Developing on a wide range of technologies related to Datalakes Development: SQL, SYNAPSE, Databricks, Fabric Tools: DEVOPS, Visual Studio, TFS, GIT Database: SQL Server Methodologies: Agile (SCRUM) SAP BW / SAC PowerBI / Tableau Minimum skills: 2–4 years of experience in data engineering or development roles in large scale projects. Strong hands-on experience with Azure Synapse Analytics (including dedicated SQL pools, data integration pipelines, Synapse Spark notebooks etc.) Good working knowledge of Azure Data Factory, SQL, and related data services Basic exposure or willingness to work with Azure Databricks with PySpark (development or orchestration) Solid understanding of SAP BW data models, InfoProviders, and data extraction methods (e.g., using ODP, CDS Views, or flat files) Proficiency in data modeling and ETL/ELT concepts Experience working on SQL environments Strong problem-solving skills and an ability to navigate complexity Experience in performance and tuning Demonstrable experience applying agile mythologies (SCRUM) Good team player Good communication and documentation skills Advanced level of English Preferred skills: Knowledge of data architecture concepts (e.g., data lakehouse, medallion architecture) Familiarity with data governance and security best practices in Azure Exposure to modern BI tools such as Power BI or Tableau is a plus Familiarity with Alteryx Show more Show less
