Responsibilities:

Lead and mentor a high-performing teams of local and remote engineers Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed Provide technical expertise and guidance to the team  Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines Oversee the design, development, maintenance, scalability, reliability, and performance of the Industrial Systems' data platform pipelines and architecture.   Contribute to the long-term strategic direction of the Data Platform with a focus on enterprise use Enforce and ensure data quality, data governance, and security standards Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy Communicate decisions effectively and transparently to internal and external customers Stay updated on industry trends and emerging technologies to inform technical decisions Lead to implement various business customers’ requests and logics into the data assets with optimized design and code development

 

Qualifications Required:

Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics 5+ years experience in Industrial Systems data 
     (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR) 5+ years of progressive responsibilities in a complex data environment 3+ years' experience leading a software/data engineering team 3+ years of experience in Big Data Environments or expertise with Big Data tools Expertise in Google Cloud Platform  Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).

Qualifications Required:

Bachelor's degree in computer science, Information Technology, Information Systems, or Data Analytics 5+ years experience in Industrial Systems data 
     (e.g. Engineering / Manufacturing / Supply Chain / Finance / Purchasing / HR) 5+ years of progressive responsibilities in a complex data environment 3+ years' experience leading a software/data engineering team 3+ years of experience in Big Data Environments or expertise with Big Data tools Expertise in Google Cloud Platform  Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).