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1 день назад

Senior Data Engineer (Finance, Regulatory)

140 000 - 155 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Data Engineer (Finance, Regulatory): Designing and optimizing high-scale data pipelines for banking operations with an accent on database performance, data modeling, and CI/CD practices. Focus on building robust data systems, ensuring data quality and compliance within the financial services industry.

Location: This role is based in New York, NY

Salary: $140,000–$155,000/year

Company

hirify.global is a global consulting firm that combines creativity and innovative technology to deliver industry-leading digital solutions for financial services and technology firms.

What you will do

  • Design, develop, and maintain scalable data pipelines using Snowflake, Pyspark, and SQL.
  • Write optimized SQL queries and implement data models, schemas, and architecture for banking requirements.
  • Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
  • Automate data workflows and ensure data quality, accuracy, and integrity.
  • Manage and coordinate release processes for data pipelines and analytics solutions.
  • Monitor, troubleshoot, and optimize the performance of data systems.

Requirements

  • Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
  • Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake, with experience in ETL/ELT processes and tools.
  • Hands-on experience with release management, deployment, and version control practices, coupled with expertise in CI/CD practices and implementation.
  • Solid understanding of banking and financial services industry data and compliance requirements.
  • Proficiency in Python scripting and Pyspark for data processing and automation.

Nice to have

  • Good knowledge in Azure and Databricks.
  • Knowledge of Apache Kafka or other streaming technologies.

Culture & Benefits

  • Highly competitive compensation and benefits package.
  • Access to a multinational organization with opportunities for global exposure.
  • Paid annual leave, sick leave, and national holidays; maternity & paternity leave plans.
  • Comprehensive insurance plan including medical, dental, vision, life insurance, and disability.
  • Retirement savings plans and higher education certification policy.
  • Extensive training opportunities, on-demand Udemy for Business access, and coaching with experienced colleagues.

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