Data Engineer Advisor
At a glance
Mid-level Data Engineering role at NTT DATA. Bangalore.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data pipelines for secure solutions using Azure Data Factory and Databricks
- Migrate data and related systems from on-premises environments to the cloud
- Apply data warehousing, ETL/ELT, modeling and warehouse design principles
- Use SQL, Python and data integration tools to build and operate data solutions
What you bring
- You have more than four years of advanced SQL programming and over two years of data analysis experience
- You bring hands-on experience with SQL, Python, data integration and orchestration tools such as Azure Data Factory or Databricks
- You understand Agile delivery and system development life cycle methods, including tools such as Jira or Azure DevOps
Who this fits
This role suits a mid-level data engineer who can communicate with both technical and business partners. Azure, Databricks and insurance-domain knowledge are advantages rather than stated requirements.
From the employer
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.
• 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
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