10 дней назад
Senior Data Engineer (GCP)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (GCP): Building and maintaining scalable Subscriber Metrics data pipelines with an accent on BigQuery, dbt, PySpark, Parquet, and Dagster. Focus on integrating trusted data models, ensuring pipeline reliability, automating data delivery, and solving complex data infrastructure problems during US business hours.
Location: Remote within LATAM, with availability during US business hours preferred; candidates in US Eastern, Central, Mountain, or Pacific time zones are preferred.
Company
is an operating partner for startups and growth-stage companies, providing product engineering and global staffing through embedded talent teams across LATAM and Asia.
What you will do
- Build, orchestrate, and maintain scalable data pipelines on GCP.
- Use BigQuery, dbt, PySpark, Parquet, and Dagster for data modeling, processing, and orchestration.
- Develop expertise in core data models and collaborate with Data Science and Data Operations.
- Maintain trusted, well-understood datasets that enable self-service analytics and modeling.
- Define requirements with cross-functional stakeholders and document complex technical problems.
- Establish development best practices for specialized analytical and modeling datasets.
Requirements
- 5+ years of software engineering experience, including at least 3 years in data infrastructure or platform engineering.
- Production experience with BigQuery, Snowflake, or Databricks and dbt, SQL, or Spark.
- Experience with Dagster, Airflow, or a comparable orchestration tool.
- Strong SQL skills and proficiency in a general-purpose programming language, preferably Python.
- Ability to investigate unfamiliar systems, resolve difficult problems, communicate effectively, and build testable data systems.
- Availability to work during US business hours is required.
Nice to have
- Experience designing and implementing backend web services.
- Experience managing GCP or AWS resources with Terraform, Pulumi, or CloudFormation.
- Experience with data architecture, governance, and maintainable systems design.
- Industry experience with receipt, transaction, or viewership data.
Culture & Benefits
- Remote-first work environment.
- Collaboration with Data Science, Data Operations, and cross-functional stakeholders.
- Opportunity to work on a core data product and improve delivery reliability through automation.
- Direct collaboration with startup and growth-stage company teams.
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