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Job Description
Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.
Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.
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.
This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports.
This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.
- 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.
- 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.).
- 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.
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- Certified Data Engineer, Certified Professional certification preferred.
- 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.
Workplace type:
Hybrid WorkingEqual Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us. Apply today
Skills
ServerDataData MiningAzure Data FactoryData ArchitectureToolsSqlData ModelingIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
NTT DATA is a global IT services provider, headquartered in Tokyo, Japan, that delivers a broad range of innovative technology solutions across various sectors. As part of the NTT Group, one of the largest telecommunications companies in the world, NTT DATA specializes in consulting, IT and network services, and system integration. NTT DATA careers offer a vibrant landscape for professionals eager to develop cutting-edge technology solutions that drive significant transformations in business and society. Those pursuing NTT DATA careers can expect to engage in projects that blend global insights with local expertise, fostering a culture of innovation and a commitment to client success.
Important dates & deadlines?
Application Deadline
11 Jan 26, 04:13 PM IST
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