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Strong Tier-1 brand, remote option, generalist Data Engineer title, and metro location increase applicant competition.
Core data engineering skills are transferable, though ERP/SAP experience slightly increases domain specificity.
Multiple mandatory technical skills and platform experience raise filtering but no strict years specified.
Develop and maintain structured data models to support business analytics including management, operational, predictive, and data science needs.
Design, develop, and test scalable ETL processes and data migration routines across various databases and ERP systems (MS Dynamics, Oracle, SAP).
Support definition and implementation of data table structures, contribute to documentation, and recommend improvements in data queries and models.
Bachelor's degree in Computer Science, Software Engineering, IT or related field.
Moderate experience in data engineering, data mining, and designing scalable, secure, highly available systems.
Proficiency in programming/scripting languages such as Perl, Bash, Shell Scripting, Python.
Experience with Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, and big data tools like Hadoop, Cassandra, Storm.
Experienced in building modern analytics solutions handling multi-terabyte datasets and integrating with ERP systems like SAP and SQL databases.
Skilled in both physical and logical data modeling with knowledge of data architecture landscapes.
Able to work remotely and manage small-scale change initiatives with effective communication across organizational levels.