Technology & Transformation - Engineering - Senior Consultant - Azure Data Engineer (AI Solutions)

Technology & Transformation - Engineering - Consultant - Azure Data Engineer (AI Solutions) Job requisition ID : 103725 Location : Bengaluru Entity : Deloitte Touche Tomathsu India LLP The Team Deloittes 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: As a Senior Consultant in our Technology & Transformation Team youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - Design, develop and deploy solutions using different tools, design principles and conventions. Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand. Understand existing processes and facilitate change requirements as part of a structured change control process. Solve day to day issues arising while running robotics processes and provide timely resolutions. Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase. Coordinate with process owners and business to understand the as-is process and design the automation process flow. Key skills required: 4+ years of experience designing and deploying scalable data pipelines in cloud environments. Proficiency in Python , SQL , and data manipulation tools and frameworks (e.g., Apache Airflow, Spark, dbt, Pandas). Practical experience with data lakes , data warehouses (e.g., Redshift, Snowflake, BigQuery), and streaming platforms (e.g., Kafka, Kinesis). Strong understanding of data modelling , schema design , and data transformation patterns . Experience working with Azure (Data Factory, AzureML Studio, Azure Storage) . Proven experience in handling Semi and Unstructured data . Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform,CloudFormation). Design, build, and maintain data pipelines that serve the needs of multiple stakeholders including software developers, data scientists, analysts, and business teams. Ensure data pipelines are modular , resilient , and optimized for performance and low maintenance . Collaborate with AI/ML teams to support training , inference , and monitoring needs through structured data delivery. Implement ETL/ELT workflows for structured, semi-structured, and unstructured data using cloud-native tools. Work with large-scale data lakes , streaming platforms , and batch processing systems to ingest and transform data. Establish robust data validation, logging, and monitoring strategies to maintain data quality and lineage. Optimize data infrastructure for scalability , cost-efficiency , and observability in cloud-based environments. Ensure compliance with governance policies and data access controls across projects. Qualifications Bachelors orMasters degree in Computer Science, Engineering, or related field.