T&T | Engineering | ADMM | Consultant | Azure Databricks | Bengaluru

• *T\&T \| Engineering \| ADMM \| Consultant \| Azure Databricks \| Bengaluru**

• **Job requisition ID** : 109365

• **Location**: Bengaluru

• **Entity**: Deloitte Touche Tohmatsu India LLP

• *The Team**

Deloitte’s Technology \& Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

• *Your work profile**

We are seeking highly skilled Azure Databricks Data Engineers to join our data modernization team. You will play a pivotal role in designing, developing, and maintaining robust data solutions on the Databricks platform. Your experience in data engineering, along with a deep understanding of technology and tools, will be instrumental in building solutions to drive data\-driven decision\-making across a variety of customers.

• *Key Skills \& Competencies**

• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 \& Azure Blob storage).
• Experience in utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Good Hands\-on in PowerApps, Power Automate, Power BI.
• Knowledge of REST\-API, OAuth.
• Collaborate with data architects and other stakeholders to understand data requirements and deliver high\-quality data solutions.
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
• Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
• Ensure data quality and integrity through data validation techniques and frameworks.
• Monitor and troubleshoot data pipeline issues to ensure timely resolution.
• Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting\-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.
• Good to have knowledge of any programming language like C\#, Java, JavaScript, Python etc.
• Apply data cleansing, transformation, validation, and quality checks.
• Ensure data accuracy, consistency, replication, and governance across platforms.
• Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2\.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
• Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with Data Analysis tools.
• Experience efficiently querying API endpoints as a data source.
• Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
• Understanding of Git workflows in software development.
• Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
• Understanding of Ansible and how to use it in Azure DevOps pipelines.

• *Success Metrics**

• 3\-5 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes.
• Experience working in regulated environments and with internal systems quality policies and procedures.
• Experience in development and deployment of cloud infrastructure.
• Strong SQL and Python skills for data transformation and analysis.
• Design and implement data models, schemas, and performance\-optimized queries.
• Ensure data quality, governance, and security in all solutions.
• Deploy data solutions using Azure DevOps CI/CD pipelines.

Strategic Thinking \& Problem Solving \- Applying strategic mindset to solve business issues and complex problems.

• *Preferred Qualifications**

• Education \- B. tech / BE in Computer Science or Information Technology.

• *Location and way of working**

• Location: Bengaluru
• Work mode\-The standard work week will be Monday (WFH) and Tuesday to Friday(WFO),Working hours 1\.30pm to 10\.30pm/ 08:00AM \- 05:00PM.