Senior Data Engineering Lead

hace 2 semanas


Tlaquepaque, Jalisco, México Hewlett Packard A tiempo completo

Job Title: Senior Data Engineer

 

About Hewlett Packard

Hewlett Packard is a leading technology company that requires skilled professionals to drive its success.

 

Salary Range:$175,000 - $225,000 per year

 

Job Description

We are seeking an experienced Senior Data Engineer to lead our data engineering team. The successful candidate will be responsible for designing, developing, and implementing complex data solutions and models.

The role involves leading project teams, reviewing designs, evaluating project activities, providing domain-specific expertise, and driving innovation in big data projects.

In addition, the Senior Data Engineer will assist in coaching and training business analytics solution users, ensure data integrity, build relationships within the organization, and provide guidance to less experienced staff members.

 

Required Skills and Qualifications

To be successful in this role, you will need:

- A four-year or graduate degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or a related field

- 7-10 years of work experience in data analytics, data engineering, data modeling, or a related field

- Proven track record in API development on multiple platforms

- Programming skills in SQL, Python, Java, or similar languages

- Experience with Databricks, Linux Server, Agile Methodology, Amazon Web Services, Apache Hadoop, Apache Kafka, Apache Spark, Big Data, and Scalability

 

Benefits

Hewlett Packard offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, paid time off, and opportunities for professional growth and development.

 

Impact and Scope

This role has a significant impact on the function and leads project teams, requiring strong leadership and technical skills.

 

Complexity

The role involves working on complex problems, requiring in-depth evaluation of multiple factors and analysis of situations or data.



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