Principal Data Engineer Job at NTT DATA (Bangalore)

Principal Data Engineer

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Principal Data Engineer at NTT DATA is responsible for transforming data into structured formats for analysis, developing data models, and designing ETL packages. Candidates should have extensive experience in data engineering, particularly with Microsoft Azure Data Factory and SQL Analysis Server. A bachelor's degree in a related field is required, and relevant certifications are preferred. This role offers a hybrid working environment and requires strong analytical and problem-solving skills.

Job Responsibility:

Leads on designing data models in a structured data format to enable analysis thereof
Design. and develop. scalable extract, transformation 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
Advises on test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Accountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
Accountable for analysis, and development of ETL and migration documentation
Works with cross functionally stakeholders to evaluate potential data requirements
Owns the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Partners with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models
May coach and mentor less experienced team members

Requirements:

Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Extended demonstrated experience in data engineering, data mining within a fast-paced environment
Extended experience in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
Extended demonstrated experience with architecture and design of secure, highly available and scalable systems
Extended demonstrated experience in automation, scripting and proven examples of successful implementation
Extended demonstrated experience using scripting language (Perl, bash, Shell Scripting, Python, etc.)
Extended demonstrated experience with big data tools like Hadoop, Cassandra, Storm etc.
Extended demonstrated experience in any applicable language, preferably .NET
Extended demonstrated experience in SAP, SQL, MySQL databases and Microsoft SQL
Extended demonstrated experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
Broad knowledge of the definition and management of scoping requirements, definition and prioritization activities
Broad understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Deep expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Broad understanding of data architecture landscape between physical and logical data models
Analytical mindset with excellent business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to think strategically and build effective relationships at all levels within the organization
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:
March 25, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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