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Lead Data Engineer (AWS/Snowflake)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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
Lead Data Engineer (AWS/Snowflake): Designing and operationalizing data engineering solutions for enterprise data and analytics platforms with an accent on ETL, ELT, streaming ingestion, data modeling, and cloud data warehouses. Focus on building AWS and Snowflake architectures, managing dbt projects, implementing data quality and monitoring, and enabling self-service analytics.

Location: Irving, Texas, United States; travel to hirify.global divisions up to 10% of the time.

Company

hirify.global is a Fortune 500 homebuilder focused on building quality homes, serving homeowners and communities, and developing its associates.

What you will do

  • Provide technical leadership for the enterprise data platform engineering team.
  • Design, build, and operationalize data engineering solutions for data and analytics platforms and products.
  • Architect ETL, ELT, incremental, CDC, and streaming data ingestion across multiple data sources.
  • Develop data models, cloud data lakes, and cloud data warehouses while improving data quality, maintainability, and extensibility.
  • Implement monitoring, error handling, testing, versioning, code reviews, and CI/CD standards.
  • Partner with business users and stakeholders to deliver self-service insights aligned with operational workflows and business strategy.

Requirements

  • At least 8 years of experience in data architecture, data modeling, data warehousing, transformations, ETL, monitoring, SDLC practices, code reviews, and QA/testing methodologies; 12+ years preferred.
  • At least 3 years of experience with AWS services including S3, EC2, EMR, EKS, Glue, Lambda, AppFlow, and CloudWatch; 6+ years preferred.
  • Strong experience with Snowflake Data Cloud, virtual warehouse strategies, data sharing, Time Travel, zero-copy cloning, account administration, and role-based access control.
  • Experience managing dbt Cloud, multi-repository dbt projects, dbt models, macros, version control, and branching strategies.
  • Proficiency in SQL and Python, with knowledge of data governance, security, compliance, REST APIs, and data ingestion methods.
  • At least 1 year of familiarity with orchestration and scheduling tools such as Prefect or Airflow and with Qlik Replicate.

Nice to have

  • AWS certification.
  • Experience with GitHub.
  • Experience with Airflow.

Culture & Benefits

  • Health, dental, and vision insurance.
  • 401(k) plan with a company match of $1 for every $1 contributed, up to 5%.
  • Paid parental leave, associate assistance, education assistance, and adoption assistance of up to $30,000.
  • Up to three weeks of vacation from the first year, plus holidays, sick leave, and personal days.
  • Home purchase discounts, referral bonuses, and company community initiatives.

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