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NTT DATA Services

Data Engineer Advisor

NTT DATA Services Bangalore, Karnataka, India

IT Services and IT Consulting · 10,001+ employees

19 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and orchestrate secure data pipelines using Azure Data Factory and Databricks. Implement data solutions and support advanced analytics models within an agile framework.

What they look for

Azure Databricks SQL Data Analysis Agile Scrum SAFe Jira Azure DevOps Azure Data Factory Data Pipelines Python Data Modeling Data Warehousing ETL ELT Cloud Migration

Requirements

Requires over 4 years of advanced SQL programming and experience with cloud migration and data warehousing. Candidates should have a strong background in Azure platforms and agile methodologies.

Full description

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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