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Senior Associate Data Engineer

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NTT DATA

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Senior Associate Data Engineer at NTT DATA will be responsible for transforming data into structured formats for analysis, developing data models, and supporting ETL processes. Candidates should have a bachelor's degree in a relevant field and moderate experience in data engineering. Familiarity with cloud platforms and big data tools is essential. This hybrid role offers opportunities for growth and collaboration in a diverse environment.

Job Responsibility:

  • Contributes to the creation of data models in a structured data format to enable analysis thereof
  • Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
  • Support the definition and implementation of data table structures and data models based on requirements
  • Contributes to analysis, and development of ETL and migration documentation
  • Receives instructions from various stakeholders to evaluate potential data requirements
  • Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Requirements:

  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Moderate level experience in data engineering, data mining within a fast-paced environment
  • Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Moderate level experience with architecture and design of secure, highly available and scalable systems
  • Familiarity with automation, scripting and proven examples of successful implementation
  • Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)
  • Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc.
  • Moderate level experience in any applicable language, preferably .NET
  • Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL
  • Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
  • Knowledge of the definition and management of scoping requirements, definition and prioritization activities
  • Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with good business acumen skills
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal
  • Ability to build effective relationships at all levels within the organization
  • Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)

Nice to have:

  • Relevant certifications preferred such as SAP, Microsoft Azure etc
  • Certified Data Engineer, Certified Professional certification preferred

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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