2 дня назад
Data Operations
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations (Python/SQL/Cloud Data Platforms): Building and operating reliable, secure, analytics-ready data products and pipelines with an accent on API and SFTP ingestion, Airflow orchestration, cloud infrastructure, and data quality. Focus on designing recoverable production workflows, improving observability, resolving incidents through root-cause analysis, and applying secure access and data-governance practices.
Location: Onsite at the corporate headquarters in the Brickell area of Miami, Florida
Company
builds and operates large data centers for next-generation computing workloads, including AI, colocation, cloud, and Bitcoin mining.
What you will do
- Translate business and stakeholder requirements into reliable, documented data pipelines and services.
- Build and maintain ingestion from APIs, SFTP endpoints, files, databases, and cloud services.
- Develop and operate Airflow and Google Cloud Composer workflows with dependencies, retries, backfills, and alerting.
- Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and Google Cloud Storage using dbt, data marts, and semantic-layer objects.
- Improve observability, data quality, monitoring, and production support through dashboards, alerts, runbooks, incident resolution, and root-cause analysis.
- Apply secure access controls, secrets management, data-governance practices, testing, CI/CD, and change-management processes.
Requirements
- 3+ years of experience in data engineering, software engineering, DataOps, or a related field.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
- Strong Python and SQL skills, with experience operating production data pipelines.
- Experience with Airflow or Google Cloud Composer, BigQuery, Google Cloud Storage, and Snowflake.
- Familiarity with Git, GitHub, pull requests, automated testing, CI/CD, Linux, and Bash.
- Experience integrating REST APIs, SFTP, scheduled files, or databases, plus understanding of data quality, freshness, reconciliation, schema evolution, and monitoring.
Nice to have
- Experience with dbt, data modeling, data marts, metadata, lineage, or semantic layers.
- Experience with Cloud Run, Artifact Registry, IAM, Secret Manager, Docker, or service accounts.
- Experience with Cloud SQL/PostgreSQL, time-series data, Grafana, Tableau, Metabase, or similar reporting tools.
- Experience with finance, operational telemetry, infrastructure monitoring, data governance, access reviews, or sensitive-data handling.
- Experience leading technical initiatives or mentoring peers at the Senior level.
Culture & Benefits
- Medical, dental, vision, life, and short- and long-term disability insurance.
- Paid time off and a benefits and wellness program.
- Entrepreneurial spirit, radical transparency, and a relentless growth mentality.
- Opportunity to work across technology, energy, and infrastructure with colleagues from diverse professional backgrounds.
- Meritocratic environment with opportunities to propose products, services, and strategic initiatives.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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