Role Description We are currently seeking a Data Engineer - Azure to join our team in Remote, Karnātaka (IN-KA), India. - Advanced SQL programming for more than 4 years - Data analysis skills for more than 2 years - Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps) - Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner - Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred - Industry certifications in Azure, Databricks or data architecture is advantageous - Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps) - Experience in migrating data and associated systems from on-prem to Cloud environments - Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus - Excellent verbal and written communication - Lloyds/Company Market (re)insurance experience with a good knowledge of London market or specialty insurance data domains and terminology is advantageous - Knowledge of data warehousing and ETL/ELT pipelines Qualifications - Strong technical proficiency in SQL, Python, and data integration tools - Hands-on experience with ETL tools and data orchestration (e.g., Azure Data Factory, Databricks) - Knowledge of data modelling, warehouse design, and architecture principles - Experience with cloud platforms (especially Azure) for building and operating data solutions - Understanding of Agile methodologies and tools (e.g., Jira, Azure DevOps) - Good communication skills to work with technical and business partners Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future - Global Top Employer with experts in more than 50 countries - Access to a robust ecosystem of innovation centers as well as established and start-up partners - Part of NTT Group, which invests over $3 billion each year in R&D

• Design and implement data ingestion architectures on Snowflake. • Design, develop, and implement scalable data pipelines and architectures on AWS. • Build and maintain ingestion pipelines integrating multiple data sources. • Define and implement data quality checks, validation schemas, and testing frameworks. • Establish data governance components including glossary definitions and data stewardship patterns. • Develop the Streamlit-based ingestion validation UI and its backend logic. • Collaborate with cross-functional teams to align technical solutions with business requirements. • Contribute to documentation and continuous improvement of data reliability and quality processes.

• Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate. • Contribute to the technical direction and development of Haus’ data services, infrastructure and tools. • Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs. • Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary • Create dashboards and reports to support business objectives and enable data-driven decision making • Partner with data scientists, engineers, and product teams to accomplish all of the above!

• You work on varied client projects and are responsible for implementing modern data-engineering architectures with a focus on Microsoft Fabric. • You support clients from requirements analysis through architectural decisions to implementation and the successful transition into operational production. • In doing so, you build deep expertise in Microsoft Fabric and adjacent cloud & AI technologies — or develop existing knowledge further into true excellence. • You design and implement advanced data platforms based on Microsoft Fabric. • You shape solutions across the entire data value chain — from the cloud platform through integration and transformation processes to analytics and AI applications. • You work closely with clients in workshops, architecture sessions, and strategic roadmaps, guiding them confidently through transformation phases. • You deliver projects using modern Data & AI technologies — including Microsoft Fabric, Databricks, Azure services, and current ML frameworks. • You work with a variety of industries and company sizes across the DACH region, building a broad and valuable range of experience.