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6 дней назад

Senior Data Engineer (Snowflake & Airflow)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Snowflake & Airflow): Design and maintain production data pipelines and scalable Bronze, Silver, and Gold data architectures with an accent on Snowflake, Apache Airflow, Python, SQL, and data quality. Focus on implementing incremental loading and historization, optimizing complex transformations, managing access controls and CI/CD, and improving production reliability.

Location: Remote from all over the world

Company

hirify.global is an international technology team delivering data engineering solutions.

What you will do

  • Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3.
  • Design scalable Bronze, Silver, and Gold data architectures with reusable data models, incremental loading, historization, and versioning.
  • Build and optimize SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs.
  • Integrate relational databases, APIs, object storage, and file-based data sources while implementing validation, reconciliation, lineage, monitoring, and error handling.
  • Manage Snowflake access controls and deployments across development, staging, and production environments.
  • Maintain CI/CD pipelines, troubleshoot production workflows, improve reliability and performance, and collaborate on technical documentation.

Requirements

  • 5+ years of data engineering experience, including at least 3 years working with production data platforms.
  • Strong production experience with Snowflake, including data modeling, RBAC, access management, warehouse management, query profiling, performance optimization, and stored procedures.
  • Advanced SQL skills and strong Python skills for ETL, database integration, automation, error handling, and testing.
  • Production Apache Airflow experience covering DAGs, dependencies, sensors, task groups, retries, backfills, and operational support.
  • Experience with relational databases, object storage, APIs, file-based sources, Git, pull requests, automated testing, and CI/CD.
  • Remote work from anywhere in the world and the ability to work independently in a production environment.

Nice to have

  • Experience in regulated or validated environments, life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data.
  • Experience with LIMS, OMOP, Tableau, Streamlit, Nextflow, or similar scientific and clinical tools.
  • SnowPro certification or experience with AWS Managed Workflows for Apache Airflow.

Culture & Benefits

  • Remote work from all over the world.
  • Flexible working hours.
  • Competitive compensation.
  • Collaboration with a team with strong technical expertise.

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