Intellias

Senior Data Platform Engineer with CDC

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SeniorZdalnie·KrakówFull-time·B2B

#465993·Dodano 23 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

CDC

Podsumowanie oferty

Build a next-generation Data Platform that makes data discoverable, governed, and reusable across products, analytics, and AI/ML platforms. Develop data publishing and consumption services using PostgreSQL, Debezium CDC, Kafka, and DataHub.

Wymagania

Strong software engineering experience in backend, platform, infrastructure, or data-intensive environments.
Solid understanding of distributed systems, event-driven architectures, and scalability challenges.
Hands-on experience with PostgreSQL or other relational databases.
Hands-on experience with Kafka, CDC, Debezium, or similar streaming technologies.
Hands-on experience with Kubernetes and cloud-native environments.
Experience building platforms, internal tooling, automation, CI/CD pipelines, or developer-facing services.
Ability to work through ambiguity, make architectural decisions, and deliver production-ready solutions.
Strong English communication skills.

Nice to have:

DataHub or other data catalog / governance platforms.
Apache Iceberg, data lakes, BigQuery, ClickHouse, or similar analytical platforms.
Data contracts, schema registries, Protobuf, Avro, JSON Schema.
Infrastructure as Code, GitHub Actions, operators, controllers.
Experience supporting Analytics, AI/ML, or feature-store ecosystems.
Knowledge of Python, Go, TypeScript, JVM languages, or Ruby.

Obowiązki

Design and build a next-generation Data Platform used by engineering teams across the organization.
Develop data publishing and consumption services based on PostgreSQL, Debezium CDC, Kafka, and DataHub.
Create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management.
Build internal tools and automation that improve developer experience and enable self-service data products.
Collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define and implement data standards.
Drive platform reliability, observability, lineage, and governance practices.

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