Senior Data Specialists

Key Skills

Apache Hadoop, AWS, Data Architecture, Data science techniques, Data Visualization, Database, Design, Effective communication skills, ETL frameworks, Snaplogic, Snowflake

Job Description

The Senior Data Specialist, will bridge the gap between data processing and visualization. involved in data quality, data design, metadata management and data governance of Caterpillar’s digital offerings. The responsibilities will be but not limited to: Competent to perform all necessary data related task which could include data design, data quality, metadata management, data governance or data architecture. Work directly on complex problems and provide solutions aligned with overall objectives of Cat Digital. Will understand and evaluate business requirements that impact the Caterpillar enterprise, dealership partners, and other internal and external customers. Will liaise with data creators to support project planning, training, guidance on standards, and the efficient creation/maintenance of high-quality data. Will create the data management strategy and define continuous improvement goals of data quality, governance and processes. Will lead communication across various lines of businesses and technology partners to constantly monitor, collect, review, and roadmap business data requirements, and related technology solutions. Will ensure compliance with the latest data standards supported by the company, and brand, legal, information security (data security and privacy compliance). Will maintain existing data quality scorecard measurements, executing of scorecards, resolving exceptions with data owners and source systems. Will design robust, scalable database and data extraction, transformation and loading (ETL) solutions. Will document data models for domains to be deployed including a logical data model, candidate source lists, and canonical formats. Will develop data ingestion store specifications identifying source systems and the tables and fields to ingest. Will be responsible for transforming data for the purposes of visualization through leveraging technologies such as Snowflake, Teradata, Alteryx, Datastage, and/or Snaplogic.

REQUIREMENTS:

Master’s degree (or equivalent foreign degree) in Data Science, Software Engineering, Computer Science or a closely related field and 5 years of experience transforming data through processing and visualization. Additionally, the position requires 5 years of experience (which may have been gained concurrently): (1) evaluating business requirements and performing architecture on Extract, Transform, Load (ETL) solutions to design and develop efficient solutions; (2) designing scalable database and data extraction, transformation and loading ETL solutions; and (3) direct working experience with data supporting technologies, including specifically: Hadoop, Aleryx, and Snaplogic; (4) software technologies (Snowflake, AWS).

Employer will accept any suitable combination of education, training or experience. Apply below.

EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

Not ready to apply? Submit your information to our Talent Network here .