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8 дней назад

Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AWS/Spark): Building and certifying scalable ETL pipelines and validated data products for outage management and reliability reporting with an accent on data quality, AWS data services, and large-scale processing. Focus on investigating anomalies, coordinating versioned releases, and ensuring accurate, stakeholder-ready datasets.

Location: Hybrid in Guadalajara, Jalisco, Mexico

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to create data-driven solutions for clients.

What you will do

  • Build and maintain scalable ETL pipelines with AWS Glue, Spark, and Athena for modem telemetry, outage events, and customer impact data.
  • Develop daily data quality checks using SQL validations, threshold-based alerts, and row-count monitoring.
  • Investigate nulls, duplicates, missing intervals, and unexpected data distributions, resolving issues before downstream impact.
  • Integrate data from AOM, IPDR, Scope, CARS, IRIS, and Gisual into unified, validated datasets.
  • Support data product certification and coordinate versioned releases, including test cases, release notes, go/no-go decisions, and patches.
  • Document validation methods and pipeline behavior while collaborating with data engineering, BI, and operational stakeholders.

Requirements

  • Strong SQL proficiency, including window functions, grouping sets, null handling, and Athena-specific query patterns.
  • Experience with Python for scripting, automation, and data validation.
  • Hands-on experience with AWS Glue, Athena, S3, EMR, and Step Functions.
  • Experience using Spark for large-scale data processing, preferably on EMR.
  • Strong understanding of data quality, anomaly investigation, root-cause analysis, and pipeline validation.
  • Strong written communication skills for technical documentation and stakeholder coordination.

Nice to have

  • Experience with telecommunications or network operations data, including modem telemetry, outage records, or IPDR-style feeds.

Culture & Benefits

  • Access to AWS, Databricks, Snowflake, and AI learning opportunities, certifications, study plans, and courses.
  • Access to Udemy Business and English lessons.
  • Mentoring programs and career development plans.
  • Flexible working options.
  • Company-provided equipment and rewards for personal milestones.
  • Opportunities to attend industry conferences and meet clients; benefits may vary by LATAM location.

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