Senior Data Platform Engineer

hace 3 semanas

Madrid, Madrid, España Landbot. Io A tiempo completo

About Landbot

Landbot is a leading No-Code Chatbot Builder operating in more than 40 countries. We offer a platform that enables companies to create unbeatable chatbot conversations in different channels: Web, WhatsApp, and Messenger.

We're looking for a Senior Data Platform Engineer with fullstack ambitions, somebody who is able and willing to contribute throughout the whole lifecycle of building data products.

Our ideal candidate has expertise in designing, developing, and maintaining a common analytics platform to empower teams to build reports, draw insights, and build automations with their area's tooling stack.

Responsibilities:

  • Designing, developing, and maintaining a common analytics platform to empower teams to build reports, draw insights, and build automations with their area's tooling stack.
  • Development of our data warehouse in conjunction with our Data Analysts/Scientists, from provisioning the relevant cloud infrastructure, managing the data ingestion pipelines, and ensuring quality, security, and privacy through data governance.
  • Partnering with product and engineering to enhance our data platform to enable experimenting and shipping AI/ML-powered products.

Requirements:

  • Experience building data products: gathering and understanding stakeholder pains, agile product development, up-to-date knowledge of the technology landscape to design appropriate solutions.
  • Experience building ELT/ETL data pipelines using the modern data stack (Data/delta lakes, Airflow/Prefect/Dagster, Bigquery/Redshift/Snowflake, dbt, reverse ETL).
  • Proficient in SQL, Python.
  • Experience working with DevOps practices as CI/CD and Infrastructure as Code.
  • Experience provisioning and managing cloud infrastructure.
  • Ability to design and optimize cloud-based architectures for performance, scalability, availability, and cost-efficiency, with a strong focus on maintainability.
  • Ability to work in pairing/mob programming and async work.
  • Eligibility to work in Spain.

Nice to have:

  • Experience with real-time or near-real-time data pipelines (ex: Kafka/PubSub, Flink, Storm, Structured Streaming).
  • Experience with Airbyte.
  • Experience with Gitlab pipelines, Kubernetes, and Terraform.
  • Experience with Google Cloud Platform (Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, PubSub, Cloud IAM, Networking, Cloud Monitoring/Trace/Logging) and its analytics/data stack.
  • Experience with NoSQL and vector databases.
  • Ability to drive decisions and solutions approaches on RFC (Request for Comments) and ADR (Architecture Decisions Records) formats, as same as document processes for a broad audience to minimize silos of knowledge.

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