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Benchmark Gensuite

Cloud-based EHS, sustainability, and compliance platform

Data Engineer Associate

Data EngineeringConfirmed live in the last 24 hours
Full-timeAguascalientes, MexicoHybrid

About the Job

Requirements

  • A bachelor's degree in Information Systems, Computer Science, or a related field, with coursework in data and database management and computer-related training.
  • Proficient English communication skills at C1 level.
  • Basic knowledge of Python and PySpark for data processing.
  • Familiarity with SQL and experience working with MS SQL Server or PostgreSQL.
  • Understanding of GitHub for version control and collaboration.
  • 0–2 years of relevant experience in data and database management is highly desired.
  • Exposure to AI concepts and tools, with an interest in applying AI to data-related tasks.

Responsibilities

  • Develop and maintain data pipelines using Python and PySpark.
  • Work with SQL databases such as MS SQL Server or PostgreSQL to extract, transform, and load data.
  • Collaborate with the team to integrate and optimize data workflows.
  • Use GitHub for version control, branching, and collaboration.
  • Assist with cloud-based data processing on platforms such as AWS, Azure, or GCP.
  • Perform data quality checks and ensure consistency across datasets.
  • Troubleshoot and debug issues related to data ingestion and transformation.
  • Apply knowledge of AWS Glue transformations and the broader AWS data engineering tech stack.

Desired Qualifications

  • Exposure to a cloud platform such as AWS, Azure, or GCP.
  • Experience with orchestration tools such as Airflow or Airbyte.

About the Company

Benchmark Gensuite

Cloud-based EHS, sustainability, and compliance platform

Benchmark Gensuite provides a cloud-based SaaS platform for environmental, health, safety, sustainability, and quality compliance. It offers interconnected applications for data collection, risk and incident management, audits, and ESG reporting, with cloud data and dashboards. The platform now includes generative AI to improve data management and reporting. It differentiates itself with a global footprint and an all-in-one solution across EHS, sustainability, ESG, and quality, often growing through acquisitions and aiming to move customers from manual processes to scalable digital management that boosts ROI and safety outcomes.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Mason, OH
Founded
2008

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