Data Engineer

Company Home - thyssenkrupp Materials Services thyssenkrupp-materials-services com Your responsibilities We are seeking a highly experienced Senior Data Engineer with expertise in Azure-based cloud architecture to join our team In this role you will design build and optimize complex data pipelines and cloud infrastructure to support data-driven business decisions You ll be responsible for implementing robust scalable solutions leveraging Azure Synapse Analytics Databricks ADF SQL with DevOps The ideal candidate will also possess experience in Power BI data mining data analysis and migration of on-premises systems to the cloud Familiarity with Microsoft Fabric is an added advantage Key Responsibilities Cloud Architecture Infrastructure Design and implement Azure-based cloud infrastructure including data storage processing and analytics components Develop and optimize scalable data architectures to ensure high performance and availability Data Pipeline Development Build and manage ETL ELT pipelines using Azure Synapse Azure Data Factory ADF and Databricks Ensure the efficient flow of data from source to target systems implementing robust data quality controls Data Transformation Analysis Utilize SQL Synapse and Databricks for data transformation data mining and advanced data analysis Implement best practices for data governance lineage and security within Azure environments Migration Projects Lead the migration of on-premises data systems to Azure cloud infrastructure ensuring minimal disruption and data integrity Optimize data migration strategies and methodologies for various applications and workloads DevOps CI CD Pipelines Manage DevOps processes ensuring continuous integration and deployment CI CD for data solutions Develop and maintain infrastructure as code IaC for deployment testing and monitoring Business Intelligence Reporting Collaborate with business stakeholders to design and implement reporting solutions in Power BI ensuring data is accessible and actionable Develop visualizations and dashboards to support data-driven decision-making Collaboration Best Practices Work closely with data scientists analysts and other business stakeholders to understand requirements and provide optimized data solutions Drive best practices in data engineering including coding standards testing version control and documentation Your profile Candidate must have 3 - 6 years of experience Education Bachelor s or master s degree in computer science Information Technology Data Engineering or related field Technical Expertise Azure Cloud Advanced proficiency in Azure services including Synapse Analytics Data Factory Databricks SQL Blob Storage and Data Lake Data Engineering Strong skills in SQL ETL ELT processes data warehousing and data modeling DevOps Experience with CI CD pipeline setup automation and Azure DevOps Data Analysis BI Proficient in data analysis and visualization using Power BI experience in data mining techniques is desirable Migration Experience Proven track record of migrating on-premises systems to Azure cloud Additional Skills Knowledge of Microsoft Fabric is a plus Familiarity with Infrastructure as Code IaC tools like ARM templates or Terraform Strong understanding of data governance security and compliance best practices Soft Skills Strong problem-solving and analytical skills Excellent communication skills with the ability to collaborate effectively across teams Ability to manage multiple priorities and work independently in a dynamic environment Work location Thane Mumbai Your benefits Contact Vinit Poojary - tkmits-in-recruitment thyssenkrupp-materials com