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Senior Data Platform Engineer

๐Ÿ•’ 21 days ago
Data Platform EngineeringData Lake ArchitectureKubernetesKEDA
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๐Ÿ“œ Description

  • Build complex, high-volume batch and near-real-time ingestion services while evolving the platform's streaming capabilities.
  • Design and implement data solutions for application requirements in a distributed microservices environment.
  • Develop and optimize large-scale data pipelines for batch and streaming use cases.
  • Ensure data quality, compliance, and governance.
  • Manage and optimize Kubernetes infrastructure, utilizing KEDA for dynamic resource scaling.
  • Own the full lifecycle of our data stack using Terraform and Kubernetes.

๐Ÿ› ๏ธ Requirements

  • 5+ years of experience as a Data Platform/Infra Engineer
  • Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures.
  • Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA.
  • Experience with Snowflake.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Infrastructure as Code, preferably Terraform.
  • Experience with managing a data orchestration platform such as Airflow or Prefect

โœจ Benefits

  • Comfortable environment, challenging tasks and a long-term interesting project;
  • Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues).
  • Covered 20 days of vacation;
  • Working with top notch equipment;
  • Bookkeeping by a professional accountant;
  • Help and support from our caring HR-team;
Full job description

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the companyโ€™s data infrastructure.

This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the companyโ€™s future growth.

This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.

Requirements:

  • 5+ years of experience as a Data Platform/Infra Engineer
  • Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures.
  • Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA.
  • Experience with Snowflake.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Infrastructure as Code, preferably Terraform.
  • Experience with managing a data orchestration platform such as Airflow or Prefect

Responsibilities:

  • Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platformโ€™s streaming capabilities.
  • Design and implement data solutions for all application requirements in a distributed microservices environment
  • Develop and optimize large-scale data pipelines for batch and streaming use cases.
  • Ensure data quality, compliance, and governance.
  • Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.
  • Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.
  • Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.
  • Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.

What we offer:

  • Comfortable environment, challenging tasks and a long-term interesting project;
  • Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues).
  • Covered 20 days of vacation;
  • Working with top notch equipment;
  • Bookkeeping by a professional accountant;
  • Help and support from our caring HR-team;

This senior data engineering role focuses on building and maintaining the infrastructure for reliable data flow across the organization, emphasizing scalability and collaboration with analytics teams.

๐Ÿ“ ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico - Remote๐Ÿ’ผ Full-Time๐ŸŽธ Senior๐Ÿ›ข๏ธ Data Engineer๐Ÿ“ข ๐Ÿ‡ช๐Ÿ‡ธ Spanish Required๐Ÿ“ข ๐Ÿ‡ฌ๐Ÿ‡ง English Required
Data EngineeringPythonSQLAWS

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