Job Description :-
| Company: | NTT DATA |
| Job Role: | Data Engineer |
| Batches: | 2021-2026 |
| Degree: | Bachelor’s degree or equivalent |
| Experience: | Freshers/Experienced |
| Location: | Bangalore, India |
| CTC/Salary: | INR 6-14 LPA (Expected) |
Key responsibilities:
- Creates data models in a structured data format to enable analysis thereof.
- Designs and develops 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.
- Creates 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, for example 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.
- Collaborates with various stakeholders to evaluate potential data requirements.
- Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
- Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.
To thrive in this role, you need to have:
- Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
- Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
- Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
- Seasoned 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 build effective relationships at all levels within the organization.
- Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).
Academic qualifications and certifications:
- 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.
Required experience:
- Seasoned experience as a data engineering, data mining within a fast-paced environment.
- Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
- Seasoned experience with architecture and design of secure, highly available and scalable systems.
- Seasoned proficiency in automation, scripting and proven examples of successful implementation.
- Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
- Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
- Seasoned experience in any applicable language, preferably .NET.
- Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.
- Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.
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