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Role Description
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit
Job Title: Azure Data Architect
Location: Munich, Germany
6 Months contract with possible extension
Responsibilities
- Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
- Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
- Oversee the end-to-end implementation of data solutions ensuring alignment with business requirements and best practices
- Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
- Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
- Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
- Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
- Ensure best practices are followed in terms of code quality data security and scalability
- Stay updated with the latest developments in Databricks and associated technologies to drive innovation
Essential Skills
- Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
- Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
- Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
- Experience with ETLELT processes data warehousing and building data lakes
- Strong SQL skills and familiarity with NoSQL databases
- Experience with CICD pipelines and version control systems like Git
- Knowledge of cloud security best practices
Soft Skills
- Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
- Strong problemsolving skills and a proactive approach to identifying and resolving issues
- Leadership skills with the ability to manage and mentor a team of data engineers
Nice To Have Skills
- Power BI for dashboarding and reporting
- Microsoft Fabric for analytics and integration tasks
- Spark Streaming for processing realtime data streams
- Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices
Skills
Mandatory Skills :
Microsoft Azure, Azure Databricks, BigData, SQL, Azure Data lake, Azure Data Factory
