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Data Engineer
hace 3 meses
Company DescriptionBosch was founded in Stuttgart in 1886 by Robert Bosch and for more than 130 years has been distinguished by a unique corporate culture based on solid values that drive us to improve every day.
Our products, present in a wide variety of fields, that contribute to improve the quality of life of millions of people.
Job DescriptionGENERAL DESCRIPTION Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams along with maintain and keep updated Bid data hardware and data structure.
Design and keep data standardization, Red Lake and Data Warehouse (JuP1 Central Data Base).PRIMARY DUTIES & RESPONSIBILITIES Create, integrate and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business and management requirements.Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, propose re-designing of data and infrastructure for greater scalability, etc.
Build, design and review the data structure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technology.
Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
Work with others stakeholders within Robert Bosch including Management, Product, Data and Design teams to assist with data-related technical issues and support their data requirements needs.
Keep our data separated, safe and secure for only the right personnel scope.Support for data analysts and scientist team members to assist them in building and optimizing our product to become an innovative industry leader.
Design and maintain JuP1 data warehouse and data lake structureApply Data Management guidelines and regulations to ensure Data Governance.QualificationsEDUCATION & ACADEMIC BACKGROUND Bachelor's degree in Computer science, Information Technology, or related field.2years of experience in data engineering roles or 3+ years of experience in software development roles.
Bilingual (Spanish and Advanced English)SKILLS & EXPERIENCE Must Have:
Proficientat least one of the programming languages such as Python, Scala, or Java.
Oracle, Microsoft SQL and Hadoop database management, CRUD operations, query and database design.
Strong understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
Excellent problem-solving and analytical skills, with the ability to break down complex problems into manageable tasks.
Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams, including data scientists, analysts, and business stakeholders.
Nice to Have:
Candidates with expertise in big data technologies like Apache Spark, Apache Kafka, and Apache Airflow and streaming data using frameworks like Apache Flink will have an added advantage.
General knowledge on manufacturing systems.1+ years of experience working with containers like Docker.Additional InformationBosch is constantly expanding its international presence, since for us cultural diversity represents one of our greatest strengths.
We are continuously promoting the growth of our more than 17,000 associates, who develop their full potential in one of the highest quality companies in technology.
We value the balance between personal and work life as one of the main tools to improve the creativity and productivity of our associates.
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.
Get to know more about how we work at Bosch and our new open positions on our social networks:
For internal candidates (Bosch associates), remember to fill and attach your Internal application form (Please consult HRL Catalogue to download format).
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