Data Science Production Support

**Position**:
Data Science Production Support - Data Engineer I

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 2021 sales of $34.48 billion, Arrow develops technology solutions that improve business and daily life. The company maintains 228 locations worldwide with over 90 locations served.

A Fortune 104 company with 20,700 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, right time, and right 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.

We are seeking a highly motivated individual for a Data Science Production Support - Data Engineer role to join our Data Science Team. You will design, implement and maintain data pipelines across various data sources to ensure Data Science product quality to live up to the business SLA. As part of the scrum team, you will work with both the Data Science and Data Engineering, and other data source teams to understand the data flow and pain points and build processes and pipelines to address them.

**What You'll Be Doing**
- Understand business requirements and provide suitable design.
- Design, implement, and maintain production-level data pipeline across various data sources.
- Ability to quickly prototype a solution to prove out the technical feasibility and business value.
- Scale up prototypes (ETL/ML model/services) from end-to-end using relevant technologies.
- Test and monitor to ensure product quality to live up to the business SLA.
- Research and learn new tools and frameworks.
- Technical documentation.

**What We're Looking For**
- Bachelor's Degree in IT, Computer Science, Data Science, or a related field
- 5+ years of working experience and, more than 2 years in a relevant field.
- 2-5 years of experience working with Big Data (Hadoop, Cloudera (CDH), Spark Hive, Impala, HBase, etc.)
- Strong programming experience in any of the following languages Python/Java.
- Must have a strong command of SQL.
- Must have a good working knowledge of the Unix file system and shell scripting.
- Advanced English (verbal and oral skills)
- Greater than 2 years of working experience with Cloudera Distributed Hadoop (CDH)
- Hands-on experience working with popular big data frameworks listed below, like Hadoop/Spark/Hive/Impala/HBase and others.
- Experience operating in an agile work environment.

**Even Better if You Have**
- Basic understanding of machine learning techniques and models.
- Experience in designing and implementing scalable RESTful APIs.

**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
- Vision and Dental Assistance
- Life Insurance
- Healthcare Insurance
- 10% Food/Pantry Vouchers
- Restaurant Vouchers
- 13% Savings Fund
- Growth Opportunities, and more

**Annual Hiring Range/Hourly Rate**:
$46,341.67 - $65,541.67 MXN Monthly

**Location**:
MX-JAL-Tlaquepaque, Mexico (HPE Guad office)

**Time Type**:
Full time

**Job Category**:
Information Technology