Data Engineer (LOCAL TO BAY AREA, CA)

Position: DATA ENGINEER

Location: Santa Clara, CA (LOCAL ONLY)

Role - Data Engineer MUST have Tech Skills: SQL (strong), Python & Spark

Description: 8-10 years of data warehousing/engineering, data modeling and software solutions design and development experience.

Strong hands-on experience with big data systems such hdfs, hive, impala, and spark on Cloudera Hadoop distribution or Databricks.

Must me proficient is SPARK, KAFKA and Streaming technologies

Ability to Research and incubate new technologies and frameworks

Experience with agile or other rapid application development methodologies and tools like bitbucket, Jira, confluence.

Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations.

Strong hands-on experience in Python

Strong organizational and multitasking skills with ability to balance competing priorities.

Deep understand of high-tech manufacturing business processes and associated data models/data flows

An ability to work in a fast-paced environment where continuous innovation is desired, and ambiguity is the norm.

A passion for technology. We are looking for someone who is keen to leverage their existing skills while trying new approaches.

Experience with a RDBMS Microsoft SQL Server, Oracle, DB2 (nice to have)

Experience collaborating with global teams,

Ability to work independently and collaborative with other staff members.

Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative interpersonal skills

Work as part of globally distributed team to design and implement data solutions in alignment with business needs and project schedules.

Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.

Work with other developers to make sure that all data solutions are consistent.

Partner with business community to understand requirements, determine training needs and deliver user training sessions

Perform technology and product research to better define requirements, resolve important issues and improve the overall capability of the analytics technology stack.

Evaluate and provides feedback on future technologies and new releases/upgrades. Job Specific Knowledge:

Supports Big Data and batch/real-time analytical solutions leveraging transformational technologies. Works on multiple projects as a technical team member or drive user requirement analysis and elaboration, design and development of software applications, testing, and builds automation tools. Participates in creating strategies that use business intelligence and data platforms.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.