Data Engineer / DataOps Engineer

Brak informacji o wynagrodzeniu
MidFull-time·B2B
#320069·Dodano miesiąc temu·25
Źródło: emagine
Aplikuj teraz

Tech Stack / Keywords

SnowflakeAirflowCI/CDKubernetesTestingSOLIDSQLCloud

Firma i stanowisko

The role is within the IT Services / Digital Consulting industry, focused on developing and managing data pipelines and workflows to enhance the organization's data platform capabilities.


Wymagania

  • 5+ years of professional practice in data engineering.
  • Strong, practical experience with Snowflake (views, tables, performance tuning, orchestrated ELT processes).
  • Solid expertise using dbt for SQL-based transformations.
  • Hands-on experience with Airflow for workflow scheduling and automation.
  • Experience deploying and maintaining containerized workloads on Kubernetes.
  • Familiarity with cloud environments, with strong understanding of Microsoft Azure services.
  • Practical experience building ETL/ELT pipelines and maintaining production data workflows.
  • Good understanding of Git-based development, CI/CD pipelines, and general DevOps principles.
  • Analytical mindset and ability to troubleshoot issues in complex systems.

Nice to have:

  • Experience with event streaming or messaging systems.
  • Familiarity with data quality tools.
  • Exposure to observability or platform engineering tooling.
  • Understanding of MLOps concepts or ML workflow integration.

Obowiązki

  • Develop and maintain end-to-end data pipelines using Snowflake as the core data platform.
  • Build ELT workflows using dbt and manage orchestration with Airflow.
  • Implement and support DataOps processes, including CI/CD automation, monitoring, and workload deployment on Kubernetes.
  • Optimize Snowflake performance, including warehouses, storage usage, and query efficiency.
  • Ensure data reliability through data validation, testing, and monitoring practices.
  • Integrate various data sources and manage ingestion processes into Snowflake.
  • Collaborate with cross-functional teams to deliver reliable, production-ready data solutions.
  • Follow engineering best practices, maintain coding standards, and support continuous improvement.
  • Support team knowledge sharing and mentor junior developers when needed.

Inne informacje

After receiving the offer, a background check is carried out (references, criminal record check, etc.).

emagine

emagine

209 aktywnych ofert

Zobacz wszystkie oferty
Aplikuj teraz