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Popular mid-level data engineer title with broad toolset and mid-career experience drives high competition.
Requires D365, engineering BOMs and domain knowledge, limiting cross-industry transferability.
Explicit 4+ years plus tool- and platform-specific mandates (D365, ETL, cloud) make shortlisting highly strict.
Develop and execute large-scale data migration strategies ensuring data integrity between legacy and modern platforms.
Automate and monitor migration ETLVR processes primarily using Azure Data Factory, Synapse Pipelines, or similar tools.
Support enterprise data transformation initiatives and ongoing management of data assets, including data profiling, cleansing, validation, and reconciliation.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
4+ years of data engineering experience focused on data migration and management.
3 years experience with D365, AX09, AX12, BlueStar and 2 years experience with Engineering Data and BOMs.
Strong SQL skills and proficiency in ETL tools such as Informatica, Talend, or Azure Data Factory.
Experienced in cloud platforms like AWS, Azure, or GCP with knowledge of modern data architectures such as data lakes or lakehouses.
Familiar with data governance frameworks, data quality processes, and Master Data Management (MDM).
Process-oriented with strong understanding of product management lifecycle and engineering systems reflected in information systems, and able to work collaboratively with adjacent functions.