Arinc International Of Canada Ulc - Granby, CT

posted about 2 months ago

Full-time - Mid Level
Remote - Granby, CT
10,001+ employees

About the position

Pratt & Whitney is seeking a Data Engineer to join our Digital Technology (DT) team in a remote capacity. This role is pivotal in designing, building, and maintaining efficient, reusable, and reliable Python code for data analysis, processing, and migrations. The Data Engineer will implement and manage ETL processes to extract, transform, load, and migrate structured and unstructured data from various sources using VAULTIS. Additionally, the role involves developing and maintaining CI/CD pipelines for automated testing and deployment of data models, applications, and data migrations. Collaboration is key in this position, as the Data Engineer will work closely with data scientists, analysts, and other stakeholders to understand data needs, design data products, and deliver solutions based on data mesh principles. The successful candidate will ensure that systems meet business requirements, adhere to industry practices, and align with data mesh concepts such as treating data as a product, creating self-serve data platforms, and establishing shared responsibility for data infrastructure. To excel in this role, candidates must maintain up-to-date knowledge of best practices and new technologies in the data engineering field, particularly focusing on data mesh and data as a product. This position offers an exciting opportunity to contribute to the transformation of flight technology while working in a dynamic and inclusive environment.

Responsibilities

  • Design, build, and maintain efficient, reusable, and reliable Python code for data analysis, processing, and migrations.
  • Implement and manage ETL processes to extract, transform, load, and migrate structured and unstructured data from various sources using VAULTIS.
  • Develop and maintain CI/CD pipelines for automated testing and deployment of data models, applications, and data migrations.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs, design data products, and deliver solutions based on data mesh principles.
  • Ensure systems meet business requirements, industry practices, and data mesh concepts such as data as a product, self-serve data platforms, and data infrastructure as a shared responsibility.
  • Maintain up-to-date knowledge of best practices and new technologies in the data engineering field, with a focus on data mesh and data as a product.

Requirements

  • BS degree in Computer Science, IT or related degree and 8+ years of prior relevant work experience; OR an Advanced Degree in MIS, Business, Engineering, or related degree and 5+ years of prior relevant work experience; OR in lieu of a degree, 12+ years of prior relevant work experience.
  • Proven experience as a Data Engineer, Software Developer, or similar role.
  • Strong analytic skills related to working with unstructured datasets and data migrations.
  • Experience in working with Databases - Oracle, Sql Server, Databricks, postgres.
  • Experience in using AWS/Azure Cloud Environments.
  • Knowledge of database structure principles and data modeling techniques.
  • Develop and maintain CI/CD pipelines for automated testing and deployment of data models, applications, and data migrations.
  • U.S. Citizenship is required due to government contract requirements.

Nice-to-haves

  • Strong problem-solving attitude and team spirit, with the ability to work collaboratively in a data mesh environment.
  • Expertise in SQL, Python, ETL tools, and large-scale data processing for data engineering tasks.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short-term disability
  • Long-term disability
  • 401(k) match
  • Flexible spending accounts
  • Flexible work schedules
  • Employee assistance program
  • Employee Scholar Program
  • Parental leave
  • Paid time off
  • Holidays
  • Annual short-term and/or long-term incentive compensation programs depending on the level of the position.
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