Data Engineer

# **Position:**Data Engineer (Databricks)# **Job Description:**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. **How to Apply:****Internal Employees:**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.**What You'll Be Doing:*** Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions with moderate independence.* Translate business requirements into technical designs and contribute to solution architecture discussions.* Build and enhance business-to-business (B2B) integrations and internal data processing workflows.* Diagnose and resolve data quality issues, pipeline failures, and performance bottlenecks; propose optimizations.* 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.**What We Are Looking For:*** +5 years of experience in similar roles.* Strong programming experience in Python AND/OR Java.* Advanced SQL Experience.* +4 years of experience with Databricks.* Experience in Agile work environment.**The Skills That Will Help You Succeed Even More:** *(Optional)** Experience with Kafka, Eventhub, kinesis.* Experience implementing data quality frameworks.* Exposure to API-based data integrations.**What’s In It For You :**At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.* 30 days of Christmas bonus* 40% vacation premium* 12 vacation days plus 2 floating days, your birthday and sick days.* Vision and Dental Assistance* Life Insurance* Healthcare Insurance* 10% Food/Pantry Vouchers* Restaurant Vouchers* 13% Savings Fund* Growth Opportunities, and more**Apply now**#LI-FS1#LI-Hybrid# **Annual Hiring Range/Hourly Rate:**$64,216.67 - $70,666.67 MXN MonthlyActual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. # **Location:**MX-JAL-Tlaquepaque, Mexico (HPE Guad office)# **Time Type:**Full time# **Job Category:**Information Technology# **EEO Statement:**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.Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to religion, gender, age, sexual orientation, gender identity or national origin. ()
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