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12 дней назад

Data Engineer (Snowflake)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Engineer (Snowflake/ETL): Building and maintaining ETL workflows, enterprise data warehouses, and automated data pipelines that move data from on-premises sources to cloud platforms with an accent on Informatica, Oracle, SQL Server, Snowflake, and PL/SQL. Focus on designing reliable CDC-enabled integrations, automating repeatable data processing, and supporting production platforms through an on-call rotation.

Location: Must be local to Lansing, Michigan, with four days of onsite work required; no remote option. The role may require U.S. citizenship or naturalized citizenship and ADP I or II clearance for certain system access duties.

Company

hirify.global is hiring for its Data Engineering Team, focused on enterprise data integration, warehousing, and cloud data platforms.

What you will do

  • Analyze requirements and develop technical specifications, data engineering components, and tests.
  • Create and maintain ETL workflows and data pipelines in line with engineering standards.
  • Build Informatica CDI-PC workflows for on-premises enterprise data warehouses and flat-file extracts.
  • Develop PL/SQL-based workflows for data marts and enterprise reporting.
  • Automate data movement from on-premises sources to Snowflake, Salesforce, and other cloud or application platforms using CDC and scripting.
  • Participate in change control, configuration management, and a 24-hour platform support rotation.

Requirements

  • At least three years of data engineering experience with strong analytical reasoning and critical thinking.
  • Experience with Oracle, SQL Server, and Snowflake database platforms.
  • Experience with Windows Server and Red Hat Enterprise Linux.
  • Working knowledge of PL/SQL, T-SQL, Informatica CDI-PC/PowerCenter, and Informatica IICS or IDMC.
  • Understanding of enterprise data warehouse loading, process automation, communication, and cross-functional collaboration.
  • Must be local to Lansing, Michigan, work onsite four days per week, and meet U.S. citizenship requirements for applicable duties.

Nice to have

  • Experience creating and maintaining data solutions in Snowflake.

Culture & Benefits

  • Collaborative work with data engineering, BI, architecture, and broader organizational teams.
  • Participation in a 24-hour on-call rotation supporting the data platform.
  • Work is performed onsite; remote work is not available.

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