Caterpillar

For more than 90 years, Caterpillar Inc. has been building the world’s infrastructure, and in partnership with CAT dealers, is driving positive and sustainable changes on every continent. A Fortune 500 company, Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines and diesel-electric locomotives. The company also is a leading services provider through Caterpillar Financial Services, Caterpillar Remanufacturing Services, Caterpillar Logistics Services and Progress Rail Services.

Caterpillar Geneva, Switzerland
27/03/2019
Full time
For more than 90 years, Caterpillar Inc. has been building the world’s infrastructure, and in partnership with CAT dealers, is driving positive and sustainable changes on every continent. A Fortune 500 company, Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines and diesel electric locomotives. The company also is a leading services provider through Caterpillar Financial Services, Caterpillar Remanufacturing Services, Caterpillar Logistics Services and Progress Rail Services. Within our EAME Distribution Headquarters located in Geneva, we offer a complete Graduate Internship Program for a period of 13 months starting 1 July 2019. The Caterpillar Graduate Internship Program is a mix of on the job learning, coupled with personal development and training in a specialized field. In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally.   You will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Data Analytics team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions Division at Caterpillar. This Graduate internship will provide you to an opportunity as a Data Engineer.    You will make a difference by: Build infrastructure required to extract, transform and load data from a wide variety of sources controlled data transformations for reporting, identifying and incorporating dealer specific business rules Support business analysts by productionizing workflows: ingesting, cleansing, and preparing data Interact with business partners to understand aftermarket, aligning data solutions to insights Optimize data analytics, modeling, visualization, transformation and enrichment Set up processes and standards for data documentation Qualifications Top Candidates Will Have: Bachelor degree in computer science or equivalent Excellent command of English and any other European language is an asset Experience with object-orientated function scripting languages: Python, Java, Javascript, C++, Scala, any other equivalent tool Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgement and problem-solving techniques Familiarity with cloud computing concepts Swiss citizen or holder of a valid B or C permit/ EU citizen living in Europe
Caterpillar Geneva, Switzerland
27/03/2019
Full time
In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally. As a   Data Engineer , you will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at Caterpillar.    You will make a difference by: D riving our Data strategy A chieving Data integrity, security & accessibility targets T ransforming our data processes A dvising users & analysts Responsibilities: Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources Create controlled data transformation for reporting, incorporating dealer business rules Optimize data analytics, modeling, visualization, transformation and enrichment Operationalize analyst workflows, tables and processes Engage directly with business partners to participate in design and development of data integration/transformation solutions Set up processes and standards for data documentation Less than 10% travel Qualifications Basic Qualifications:  Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst    Top Candidates Will Also Have: BS in Computer Science, Computer Engineering, Business Analytics, or related fields 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc Passion for acquiring, analyzing and transforming data to generate insights Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgment and problem analysis techniques Familiarity with cloud computing concepts Knowledge of big data tools: Hadoop, Spark, Kafka, etc. Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra Knowledge of data blending tools: Alteryx Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of API managers: Apigee, Azure, Catana, etc Knowledge of version control systems: Git, VSTS Thrive in a fast-paced environment that delivers results and has fun Strong attention to detail Great verbal and written communication skills to collaborate cross functionally Interpersonal skills with the ability to work effectively in a cross functional team
Caterpillar Geneva, Switzerland
20/03/2019
Full time
In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally. As a   Data Engineer , you will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at Caterpillar.    You will make a difference by: D riving our Data strategy A chieving Data integrity, security & accessibility targets T ransforming our data processes A dvising users & analysts Responsibilities: Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources Create controlled data transformation for reporting, incorporating dealer business rules Optimize data analytics, modeling, visualization, transformation and enrichment Operationalize analyst workflows, tables and processes Engage directly with business partners to participate in design and development of data integration/transformation solutions Set up processes and standards for data documentation Less than 10% travel Basic Qualifications: Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst Top Candidates Will Also Have: BS in Computer Science, Computer Engineering, Business Analytics, or related fields 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc Passion for acquiring, analyzing and transforming data to generate insights Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgment and problem analysis techniques Familiarity with cloud computing concepts Knowledge of big data tools: Hadoop, Spark, Kafka, etc. Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra Knowledge of data blending tools: Alteryx Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of API managers: Apigee, Azure, Catana, etc Knowledge of version control systems: Git, VSTS Thrive in a fast-paced environment that delivers results and has fun Strong attention to detail Great verbal and written communication skills to collaborate cross functionally Interpersonal skills with the ability to work effectively in a cross functional team