Your day at NTT DATA<\/p>\n
\tThe Intermediate Data Engineer is an advanced subject matter expert, accountable for the transformation of data into a structured format that can be easily analyzed in a query or report. \u00a0
\n\tThis role is responsible for developing structured data sets that can be reused or compliment by other data sets and reports.\u00a0
\n\tThis role analyzes the data sources and data structure and will design and develop data models to support the analytics requirements of the business which includes management \/ operational \/ predictive \/ data science capabilities.<\/p>\n
Key Responsibilities:<\/p>\n
\tDesigns data models in a structured data format to enable analysis thereof.
\n\tDesigns 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,
\n\tParticipates in the transformation of object and data models into appropriate database schemas within design constraints.
\n\tInterprets installation standards to meet project needs and produces database components as required.
\n\tDirects test scenarios and is responsible for participating in thorough testing and validation to support the accuracy of data transformations.
\n\tAccountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
\n\tWorks across multiple IT and business teams to define and implement data table structures and data models based on requirements.
\n\tAccountable for analysis, and development of ETL and migration documentation.
\n\tWorks with various stakeholders to evaluate potential data requirements.
\n\tAccountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
\n\tNetworks with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.<\/p>\n
Knowledge and Attributes:<\/p>\n
\tAdvanced knowledge of the definition and management of scoping requirements, definition and prioritization activities.
\n\tAdvanced understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
\n\tAdvanced expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
\n\tAdvanced understanding of data architecture landscape between physical and logical data models
\n\tAnalytical mindset with excellent business acumen skills.
\n\tProblem-solving aptitude with the ability to communicate effectively, both written and verbal.
\n\tAbility to think strategically and build effective relationships at all levels within the organization.
\n\tAdvanced expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).<\/p>\n
Academic Qualifications and Certifications:<\/p>\n
\tBachelor’s degree or equivalent in computer science, software engineering, information technology, or a related field.
\n\tRelevant certifications preferred such as SAP, Microsoft Azure etc.
\n\tCertified Data Engineer, Certified Professional certification preferred.<\/p>\n
Required experience:<\/p>\n
\tAdvanced demonstrated experience in data engineering, data mining within a fast-paced environment.
\n\tProficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
\n\tAdvanced demonstrated experience with architecture and design of secure, highly available and scalable systems.
\n\tAdvanced proficiency in automation, scripting and proven examples of successful implementation.
\n\tAdvanced proficiency in scripting languages (Perl, bash, Shell Scripting, Python, etc.).
\n\tAdvanced demonstrated experience with big data tools like Hadoop, Cassandra, Storm etc.
\n\tAdvanced demonstrated experience in any applicable language, preferably .NET.
\n\tAdvanced proficiency in SAP, SQL, MySQL databases and Microsoft SQL.
\n\tAdvanced demonstrated experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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