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Data Engineer

72% Flex
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or related field, 3+ years experience as a Data Engineer, Proficiency in Python and open-source tools, Experience with Apache Spark and ETL processes, Knowledge of data security and big data sets.

Key responsabilities:

  • Design, develop, and maintain data pipelines
  • Parse spreadsheets, optimize Spark jobs
  • Implement ETL processes for data integration
  • Collaborate with team on data solutions
  • Monitor and troubleshoot data pipeline performance
Körber Supply Chain logo
Körber Supply Chain Large https://koerber-supplychain.com/
1001 - 5000 Employees
See more Körber Supply Chain offers

Job description

Logo Jobgether

Your missions

If you are looking for a meaningful job where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to conquer supply chain complexity, together.
 

Overview

Körber Supply Chain is a global provider of a unique blend of supply chain management software solutions. As a high-growth international corporation, Körber Supply Chain serves the evolving and increasingly complex requirements of supply chain operations of all sizes. Through a culture of innovation, Körber Supply Chain strikes the perfect balance amongst client satisfaction, employee fulfillment, and shareholder value through our accelerated services. Joining the Körber Supply Chain team means joining a network of diverse individuals all committed to helping our clients achieve improved productivity and customer satisfaction.

The role is part of a strategic growing initiative to support the business with the integration of innovative products and features utilizing Artificial Intelligence, Operations Research, Advanced Analytics and other data oriented fields.

We are looking for an experienced and ambitious Data Developer with Python & SQL/NoSQL skills to join our growing global and distributed Data Platform team. As a tech savvy software craftsman, you must have a deep understanding of coding principles, understand object-oriented programming and appreciate the agile development way of working. All developers are encouraged to consistently assist in innovation of the software development in terms of agility, DevOps and modern development technologies.

Key Responsibilities:

  • Design, develop, and maintain data pipelines using Python and open-source tools and frameworks.

  • Parse and process spreadsheets for data mappings from a product data model to a unified common data model.

  • Write and optimize Spark jobs to aggregate and transform large datasets.

  • Implement ETL processes to integrate data from various sources into our data warehouse.

  • Collaborate with data scientists, analysts, and other team members to understand data needs and deliver high-quality data solutions.

  • Ensure data quality, integrity, and security throughout the data lifecycle.

  • Monitor and troubleshoot data pipeline performance and reliability issues.

  • Stay current with industry trends and best practices in data engineering and big data technologies.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • Proven experience (atleast 3 years) as a Data Engineer or in a similar role.

  • Experience with Data Lake / Delta Lake / Lakehouse technologies

  • Strong proficiency in Python and experience with open-source data processing frameworks.

  • Hands-on experience with Apache Spark and other big data technologies.

  • Experience with ETL processes and tools such as Apache Airflow, Luigi, or similar.

  • Familiarity with data modeling and data mapping techniques.

  • Experience working with various data formats (CSV, JSON, Parquet, etc.) and databases (SQL and NoSQL).

  • Familiarity with data security, regional segregation and large data sets

  • Strong problem-solving skills and attention to detail.

  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Knowledge of supply chain and how data engineering principles apply to various areas in the domain is an advantage.

  • Experience with cloud platforms such as AWS, Azure, GCP or OCI.

  • Experience with cloud services for data engineering for example Azure Data Factory, Data Bricks, etc.

  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.

  • Knowledge of widely known data platforms (like Snowflake) and how data engineering principles are applied and managed in those data platforms.

What We Offer:

  • Competitive salary and benefits package.

  • Opportunity to work with cutting-edge technologies in a dynamic and innovative environment.

  • Collaborative and inclusive company culture.

  • Professional development opportunities.

  • Numerous further training opportunities, including in our ACADEMY.

Please submit your resume in English.

If a candidate from Brazil is hired, the job title will be registered as "Developer" in the CLT (Brazilian labor card).

Help enable those who move goods to do good by contributing your skills and individual viewpoints in a highly collaborative, caring team environment.

Körber Supply Chain Software better enables those who move goods to do good when we prioritize diversity, equity, and inclusion. It’s better for our people, better for our business, and better for the world. That’s why at Körber we cultivate and celebrate our colleagues’ experiences and perspectives, whether they look, think, move, believe, or love differently than us.  We are committed to fostering a diverse and inclusive work environment and pride ourselves on being an equal opportunity employer. We encourage people from diverse backgrounds to apply and all qualified applicants will receive equal consideration for employment without regard to gender and identity, age, race, religion, ethnicity, ancestry, sexual orientation or expression, disability, or veteran status.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Excellent Communication
  • Team Collaboration

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