Data Developer / Architect (Data Engineer)

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Date: Nov 30, 2023

Location: Bangalore, KA, IN

Company: NTT DATA Services

Data Developer/Architect


We are looking for a savvy Data Developer to join our growing team.  The successful candidate for this role will design and implement data models and segmentation techniques in support of fellow application developers.  In addition to optimizing data flow and collection for cross functional teams, this role will have the opportunity to understand, optimize and potentially expand our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler.  They must be self-directed and comfortable supporting the data needs of multiple teams, systems and applications.


  • Design and implement data models in existing data stores.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Product Management, Development and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product.
  • Work with data and analytics experts to strive for greater functionality in our data systems.



  • We are looking for a candidate with 5+ years of experience in a Data Developer role.
  • Good listening, explanation and writing skills in English.
  • Advanced working SQL knowledge and demonstrable experience working with both relational and NoSQL databases, preferably MongoDB among them.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data stores.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.



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