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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, Protected) 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.
• Robust 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 (India)
🏢 NTT Data
📍 India
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