Data Engineer - Azure Databricks

- 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 advantagous.
- Knowledge of data warehousing and ETL/ELT pipelines.
- Solid 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

📌 Data Engineer Advisor (Bengaluru)
🏢 NTT DATA Services
📍 Bengaluru