Data Engineer - Azure
Company: NTT DATA North America
Location: Nim ka Thana, Rajasthan (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-17
About this role
Req ID:
360938
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer - Azure to join our team in Remote, Karnātaka (IN-KA), India (IN).
Insurance Domain Experience In Must
Job Duties:
- 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. Minimum Skills Required:
- 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 sol...