Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$143к$154кмедиана$195к
46 в выборке
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
78
Хорошая вакансия
развернуть
У вакансии понятный фокус на инженерии данных, современный стек AWS и Spark и конкретные возможности для обучения. Но зарплата не указана, а описание скорее соответствует hands-on инженеру, чем роли Lead.
Кликните для подробной информации
Зарплата не указанаНеясен уровень LeadСовременный стекПоддержка обучения
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Engineer (AWS/Spark): Building and maintaining scalable ETL pipelines and certified, versioned data products for outage management and reliability reporting with an accent on data quality validation, anomaly investigation, and large-scale processing. Focus on integrating telemetry and outage data from multiple systems, coordinating structured releases, and ensuring accurate stakeholder-ready outputs.
Location: Remote, Bogotá, Colombia
Company
hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver 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 and resolve anomalies such as nulls, duplicates, missing intervals, and unexpected data distributions.
Integrate data from AOM, IPDR, Scope, CARS, IRIS, and Gisual into unified, validated datasets.
Certify data products and coordinate versioned releases, including test cases, release notes, go/no-go decisions, and patches.
Document validation methods and pipeline behavior while collaborating with engineering, BI, and operational stakeholders.
Requirements
Strong SQL skills, 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, pipeline validation, anomaly investigation, and root-cause analysis.
Strong written communication skills for documenting technical methods and coordinating with stakeholders.
Nice to have
Experience with telecommunications or network operations data, including modem telemetry, outage records, or IPDR-style feeds.
Culture & Benefits
Flexible working options.
AWS, Databricks, and Snowflake certification opportunities.
AI learning paths, study plans, courses, and access to Udemy Business.
English lessons, mentorship, and career development plans.
Company-provided equipment and opportunities to attend industry conferences and meet clients.
Benefits may vary by location within LATAM.
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 →