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NA CES Big Data Engineer Apps & Data

Publish Date: Sep 2, 2021

Location: Bydgoszcz, Bydgoszcz, PL-Poland

Company: Atos

About Atos

Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of € 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index.


The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

 

Atos currently seeks a Big Data Engineer to create data pipeline architectures for service offerings being developed that assist clients on their application or data modernization journey.

 

Responsibilities

  • Work within an Agile development pod supporting full stack engineers and DevSecOps experts to ensure effective data delivery
  • Identify methods to optimize data flow and ingestion
  • Establish and maintain large, complex data sets that meet functional / non-functional business requirements
  • Collaborate with the Enterprise Architect, Solution Architect, and Technical Lead to resolve data-related technical issues
  • Work with data scientists to build data analytics capabilities that innovative new products require
  • Ensure data privacy and sovereignty requirements are considered for each solution

 

Qualifications

  • Minimum of 5-7 years of experience in data engineering roles with increasing responsibility
  • Significant experience in building data pipelines in the cloud
  • Demonstrated experience with both structured and unstructured datasets
  • Expert experience with relational databases including advanced querying (SQL)
  • Current understanding of industry trends and methodologies
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: NiFi, Kafka, Airflow, etc.
  • Experience with public cloud data services: Amazon RDS and Redshift, GCP Cloud SQL and Big Query, Azure SQL and Cosmos
  • Experience with stream-processing systems: Amazon Kinesis, Apache Storm, Apache Spark, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, R, etc.
  • Experience supporting and working with cross-functional teams in a dynamic environment

 

#LI-Remote

Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong.