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Tier-1 brand, metro location, generalist data role with broad technical requirements increases candidate competition.
Core data engineering skills are transferable, but ERP and SAP familiarity increases domain sensitivity.
Broad technical requirements but no explicit years makes screening moderately strict.
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Develop and maintain structured data models and datasets to support business analytics including management, operational, predictive, and data science use cases.
Design and develop scalable ETL processes and routines to extract, transform, and load data from multiple source systems including MS Dynamics, Oracle, SAP, and other ERPs.
Support data migration activities, testing, validation, and documentation to ensure data accuracy and quality across databases and applications.
Bachelor's degree or equivalent in computer science, software engineering, IT, or related field.
Moderate level experience in data engineering, data mining, and building modern data analytics solutions handling large, complex datasets.
Knowledge and experience with Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, and scripting languages such as Perl, bash, Shell Scripting, and Python.
Familiarity with big data tools (e.g., Hadoop, Cassandra, Storm), programming preferably in .NET, and databases including SAP, SQL, MySQL, and Microsoft SQL.
Experienced in designing scalable, secure, and highly available data systems in dynamic, fast-paced environments.
Comfortable working with multiple business stakeholders to interpret requirements and translate them into robust ETL and data model designs.
Proficient in automation and scripting with proven examples of efficient implementations supporting advanced data analytics and migration projects.