Data Engineer
Published: 2025-02-07Xebia is always on the lookout for extraordinary people. We give you space and power to become your best in a community of ambitious and talented peers. Supporting the passion of exceptionally smart people is the foundation of our organization. Everything about us - our structure, values, strategic innovation, hiring process, and knowledge management - is anchored on this principle. ...
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About Xebia
Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.
Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.
Job Description
About the team: As a Data Engineer in the Data Warehouse team you will be relied on to independently develop and deliver high-quality features and finish tasks to a high standard. You’ll be part of an emerging team, focussing on building and improving our innovative BNL Data Warehouse offerings applying marketing suites.
What we are looking for
For this position the ideal candidate has 8 years of experience in software development, and with data structures/algorithms with a focus on backend and data engineering.
Level of skills and experience:
● 5 years of hands-on experience in using Python, JVM and Shell Scripting with production experience.
● 3 years of proven experience on building cloud native data intensive applications, Amazon Web Service experience is a must and good to have experience in GCP.
● Experience on Data Warehouse design and development per the business nature using any of the modern data warehouses. Having experience in Databricks and dbt experience is required.
● Highly proficient in architecting and implementing workflow management systems, Airflow is a must.
● Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
● Hands-on experience of building and maintaining Spark applications.
● Fundamental understanding of Parquet, Delta Lake and other OTFs file formats.
● Proficiency on an IaC tool such as Terraform, CDK or CloudFormation is a must.
● Experience with observability systems (such as Datadog or Prometheus/Grafana)
● Strong experience on building CI/CD processes, experience with GitHub Actions, ArgoCD or Jenkins is good to have.
● Experience with unit testing and test automation frameworks.
● Comfortable providing, receiving constructive feedback, particularly while participating in code reviews and ability to not only code, but also provide good quality readable business documentation.
● Focus on business value vs engineering interest and focus on business value vs engineering interest.
● Pro-active / service-oriented towards our internal customers
● Strong written and verbal English communication skill and proficient in communication with non-technical stakeholders.
Some useful links:
Xebia | Creating Digital Leaders.
https://www.linkedin.com/company/xebia/mycompany/
https://www.instagram.com/life_at_xebia/
http://www.youtube.com/XebiaIndia