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Strong Tier-1 brand, remote work, metro location, and generalist data engineer title drive high competition.
Core data engineering skills like ETL, SQL, and big-data tooling are highly transferable across industries.
Multiple mandatory data engineering technologies and big-data skills increase technical filtering despite no specific years.
Develop and maintain structured data models and ETL processes to support business analytics including operational, predictive, and data science needs.
Transform and migrate data across multiple databases and ERP systems such as MS Dynamics, Oracle, SAP, ensuring data accuracy through testing and validation.
Contribute to requirements scoping, prioritization, and continuous improvement of data tables, queries, and models to enhance automated and manual data components.
Bachelor's degree in computer science, software engineering, information technology, or related field.
Moderate experience in data engineering and data mining, working with large multi-terabyte datasets and modern analytics solutions.
Experience with Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, and big data tools like Hadoop, Cassandra, Storm.
Proficiency in scripting/programming languages such as Perl, bash, Shell Scripting, Python; familiarity with SAP, SQL, MySQL, and Microsoft SQL databases.
Experienced in designing secure, scalable data architectures and automation within fast-paced environments.
Skilled in building reusable data models supporting diverse analytics (management, operational, predictive).
Comfortable working remotely, collaborating across stakeholders to translate requirements into tested data transformation solutions.