Capgemini

Senior Data Platform Engineer (DevOps)

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SeniorHybryda·WarszawaFull-time

#429116·Dodano miesiąc temu·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

CloudAWS Azure Spark Hive Snowflake SQLNoSQLPythonCDAzure DevOpsGitHub GitLab DockerTestingSecurityAI

Firma i stanowisko

Capgemini is a global business transformation partner with over 410,000 team members, specializing in AI, cloud, and data to help enterprises build intelligent, sustainable futures. The Insights & Data practice at Capgemini merges cloud technologies, big data processing, automation, MLOps, and generative AI to create scalable data ecosystems and innovative data solutions.

Wymagania

Practical experience building data platforms using one or more cloud providers: AWS, Azure, or GCP.
Strong understanding of large-scale data processing including Spark, Hive, Snowflake, Delta Lake or similar.
Excellent SQL skills and experience with relational and/or NoSQL databases.
Programming skills in Python or Scala.
Experience with CI/CD tools such as Azure DevOps, GitHub Actions, GitLab CI, Jenkins.
Hands-on experience with Docker and Kubernetes.
Knowledge of DataOps principles, data testing, and monitoring.
Good understanding of data security, encryption, and identity/access management.

Nice to have:

Familiarity with cloud AI/ML services or generative AI tools.

Obowiązki

Design and develop scalable cloud-based Data Platforms (including AWS, Azure, GCP).
Build, optimize, and maintain data pipelines for batch and streaming workloads.
Integrate with diverse data sources and expose data through APIs, semantic layers, and data warehouses.
Work with orchestration tools (e.g., Dataflow, Data Pipeline, ADF, MWAA, Cloud Composer).
Work with compute and processing services (e.g., Databricks, EMR, Glue, DataProc, Snowflake).
Work with event-driven services (e.g., EventBridge, Pub/Sub, Event Hub).
Design, develop, and optimize data models and multi-layered processing architectures (bronze/silver/gold).
Ensure efficient performance and optimization of SQL and NoSQL solutions.
Collaborate with Data Scientists and engineering teams to operationalize ML models.
Document data architectures, workflows, and technical processes.
Ensure security, compliance, and robust data governance across the platform.
Participate in architectural discussions and contribute to technology recommendations.

Benefity

Medical care with Medicover.
Private life insurance.
Sports card subscription.
Capgemini Helpline for therapeutical support.
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google).
Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business trainings.
Stable and supportive work environment recognized as "Top Employer Poland 2024".
Opportunities to work with cutting-edge technology and global enterprises.
Training budget.
Sport subscription.
Private healthcare.
International projects.
Free coffee.
Bike parking.
Free parking.
Mobile phone.
In-house trainings.
Modern office.
No dress code.

Karta sportowa

Opieka zdrowotna

Dofinansowanie szkoleń

Spotkania integracyjne

Telefon

Parking dla rowerów

Parking dla aut

Szkolenia wewnętrzne

Capgemini

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