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Data Specialist
Caterpillar Inc.. Contribute to the development and deployment of Caterpillar’s digital platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying data pipelines using Python, SQL, and cloud platforms like AWS or Azure. Strong analytical skills and a solid understanding of data modeling and software quality standards are essential for success in this role.
Highest-signal resume keywords
Data WarehousingSQL ExpertisePython DevelopmentCloud Deployment (AWS/Azure)Agile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentSoftware DevelopmentData ModelingConcurrency UnderstandingIntegrated TestingCustomer Acceptance TestingObject-Oriented DesignAlgorithmsData StructuresLarge Data Lakes
Soft Skills
Analytical SkillsMentoringTeam CollaborationCommunicationLeadership
Tools & Technologies
SnowflakeRedshiftSynapsePublic Cloud ServicesAgile Framework
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Digital Platform DevelopmentSoftware Quality StandardsBusiness-Value FeaturesTechnical Problem ResolutionTeam Growth and Improvement
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureNoSQLPythonSQL
About the role
Key responsibilities & impact- Contribute to the development and deployment of Caterpillar’s digital platform
- Perform programming and development assignments, including complex systems work
- Identify and resolve complex application and technical problems
- Respond to off-shift and weekend support calls
- Develop applications focused on delivering business-value features
- Maintain software quality standards by establishing good practices
- Identify areas for team growth and improvement
- Mentor junior developers
- Communicate with end users and internal customers to direct development, debugging and testing
- Perform integrated testing and customer acceptance testing
- Manage own work assignments and coordinate work with others
- Set priorities and establish work plans for broadly defined assignments
- Participate in brainstorming sessions focused on meeting quality goals
Requirements
What you’ll need- Position requires a four-year degree from an accredited college or university
- 5+ years of data warehousing and strong SQL experience, or at least 2 years of experience with a master’s degree in computer science or related field
- 5+ years of experience designing and developing data pipelines in Python
- Experience designing, developing, deploying and maintaining software at scale, with good understanding of concurrency
- In-depth understanding of processing data pipelines and strong data modelling skills
- Experience building large data lakes and data warehouses such as Snowflake, Redshift or Synapse
- Expertise in SQL and NoSQL databases
- At least 4+ years of deploying and maintaining software using public clouds such as AWS or Azure
- Experience working within an Agile framework, ideally Scrum
- Strong analytical skills
- Knowledge of computer science fundamentals including data structures, algorithms and object-oriented design
- Ability to work under pressure and within time constraints
- Passion for technology and eagerness to contribute to a team-oriented environment
- Demonstrated leadership on medium to large-scale projects impacting strategic priorities
- Bachelor’s degree in computer science or related field is required
Benefits
Comp & perks- Relocation is available for this position