Lead Data Engineer

Stepping Up Solutions; Sunnyvale (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Stepping Up Solutions in Sunnyvale is looking for a Lead Data Engineer to design and implement scalable data infrastructure. This role involves leading a team, delivering quality projects, and collaborating with data professionals.

The ideal candidate will have expertise in No SQL and Big Data technologies, strong programming skills, and experience processing large data volumes. A Bachelor’s degree in a relevant field is required, along with 5 years of experience in data processing.

Qualifications

• 5 years of experience in data processing.
• Experience working with large volumes of data (over 1 GB daily).
• Proficiency in programming and automation.

Responsibilities

• Develop data repository designs for various access types.
• Implement scalable algorithms from data analysts.
• Lead and mentor a team of Data Engineers.
• Ensure quality and timely project delivery.
• Collaborate with Product Management and Data Scientists.

Skills

No SQL technologies

Big Data technologies

Linux

Bash/Shell

Python

Perl

SQL

Education

Bachelor’s degree in Computer Science or related field

Job description

Job Description

RadiumOne is seeking a Lead Data Engineer to join our Data Technology team with the responsibility of designing and implementing scalable data infrastructure, as well as implementing data transformations developed by data scientists as scalable and robust processes. In this role, the successful candidate will be responsible for the following:

Duties:

• Develop conceptual, logical and physical design of data repositories for various types of data access
• Design and develop scalable, robust implementations of algorithms provided by data analysts and data scientists
• Lead a small team of Data Engineers (mentor team members, oversee their design and implementation work)
• Ensure quality and timely delivery of projects
• Work closely with Product Management, Data Analysts and Data Scientists to ensure that implemented solutions are built as desired

Qualifications

• Knowledge and expertise of No SQL and Big Data technologies
• Strong knowledge of Linux
• Demonstrated programming skills in one or more of: Bash/Shell, Python, Perl, and automation
• Working knowledge of databases, including abilities to write / tune SQL queries
• Experience of working with large data volumes (processing of more than 1 GB of data per day)
• Experience in analytical insights

Education and Experience

Bachelor’s degree or foreign degree equivalent in Computer Science, Software Engineering, Computer Engineering, Information System Management or related field.

5 years of experience in data processing field.

Additional Information

All your information will be kept confidential according to EEO guidelines.