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NTT DATA
Data Engineer
NTT DATA
New Delhi•On-site•5-8 Yrs•Jul 8
Job description
Data EngineerSenior AssociateAzureETLBig Data
Overview
The Senior Associate Data Engineer is a developing specialist role, tasked with supporting the transformation of data into a structured format that can be easily analyzed in a query or report.
Responsibilities
- 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 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.
Qualifications
- 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 programming languages (Perl, bash, Shell Scripting, Python, etc.).
- Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
- Relevant certifications preferred such as SAP, Microsoft Azure etc.
- Certified Data Engineer, Certified Professional certification preferred.
Nice to have
- Relevant certifications preferred such as SAP, Microsoft Azure etc.
- Certified Data Engineer, Certified Professional certification preferred.
Education
- Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.