Data Engineer (Hybrid)
Arrow Electronics is a global provider of products, services, and solutions to industrial and commercial users of electronic components and enterprise computing solutions. Arrow Electronics guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of $27.9 billion, Arrow develops technology solutions that improve business and daily life. The company maintains 228 locations worldwide with over 85 countries served.
A Fortune 154 company with 21,500 employees worldwide, Arrow brings technology solutions to a breadth of markets, including telecommunications, information systems, transportation, medical, industrial, and consumer electronics. Arrow provides specialized services and expertise across the entire product lifecycle. Arrow does this by connecting customers to the right technology at the right place, time, and price. Arrow provides extraordinary value to customers and suppliers - the best technology companies in the world - and connects them through the company's industry-leading services.
Join the data engineering team to participate and collaborate in the global modernization of the tools and solutions. Be part of a global team.
Please submit your updated resume in English and ensure you use only your Arrow email address.
External Candidates: Please submit your updated resume in English.
Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions with moderate independence.
Build and enhance business-to-business (B2B) integrations and internal data processing workflows.
Diagnose and resolve data quality issues, pipeline failures, and performance bottlenecks; Develop clear documentation for data models, workflows, and engineering solutions.
Collaborate with cross-functional teams including data architects, analysts, application developers, and business stakeholders to ensure effective data delivery.
Contribute to project workstreams, ensuring tasks are delivered with quality and within timelines.
Adhere to and promote engineering best practices, coding standards, and data governance guidelines.
Strong programming experience in Python AND/OR Java.
- Advanced SQL Experience.
- +Experience in Agile work environment.
Experience with Kafka, Eventhub, kinesis.
Experience implementing data quality frameworks.
Exposure to API-based data integrations.
What’s In It For You :
Vision and Dental Assistance
- Healthcare Insurance
- LI-Hybrid
Annual Hiring Range/Hourly Rate:
$MX-JAL-Tlaquepaque, Mexico (HPE Guad office)
Full time
Information Technology
Please be sure to include all work history on your resume including: temporary employment, work as a contractor, other subsidiaries, changes in entities legal name, etc.
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