$100K — $150K *
As a Database Engineer, the team member will be responsible for enhancing the Trimble Transportation Enterprise’s (TTE) technology stack with a primary focus on database modeling, database coding standards, data governance and data analytics.
Responsible for delivering all aspects of data solutions including designing data models for large enterprise applications, and working with a highly scalable data analytics platform.
Development of a future-proof data architecture that handle current and future data challenges
Development of a data model that supports multi-tenant architecture providing row-level data isolation
Development of a data platform that provides data-driven decision (DDD) making capabilities through machine learning and deep learning techniques.
Development of a data platform that ingest and process massive amounts of data sourced from operational systems, social media, logs, GPS and engine sensors, etc.
Development of a data architecture that adheres to modern UX principles offering the best-in-class user experience to customers
Analyze, design and implement analytical and operational capabilities in data architecture
An architecture that supports effective isolation rules providing easier data casting
Employ industry standard security mechanism to protect and preserve data
Define data modeling principles, change management policies, and maintenance procedures.
Collaborate with product managers, enterprise application architects and operation teams to ensure the proposed solution aligns with business goals and objectives.
Partner with various stakeholders within the business to drive success
A key stakeholder in developing an integration hub that supports 400+ vendor data
Facilitate training workshops to educate teams on newer data platforms.
Collaborate with on/offshore engineering teams to design, develop and test solutions.
Manage a team of data analyst and responsible for developing a career path for them
Responsible for working with other managers within the organization in creating data owners and stewards
% Breakdown of Responsibilities:
70% Development, 25% Working with various TTE product groups, 5% Working with customers
5 – 10 years of experience in architecting data models for modern application architecture providing real-time data analytics.
Experience designing, developing and deploying Data Lake and Enterprise Data Warehouse solutions in public and private cloud is a must.
Candidate must have extensive knowledge on Hadoop platform especially tools such as HBase, Spark, Hive, Pig, Kudu, Kafka, Etc.
Have experience in designing Master Data Management solution and rolling out data governance process across the enterprise.
Ability to understand market and business requirements and translate them into implementable blueprints for the teams.
Apt to learn new technologies and socialize them with enterprise application and data teams.
Bachelor degree in computer science, I.T. or relevant field is must.
Master’s degree is preferred.
Transportation and/or supply chain knowledge is a plus.
Valid through: 6/9/2021
$100K — $150K
10 days ago