[Mx] Data Engineer, Associate
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Full Time | Hybrid
Aguascalientes, MX
BenefitsAt Benchmark Gensuite, your hard work is rewarded.
- annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due.
- With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport
- Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action.
About the Role
- 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.
- Experience with orchestration tools such as Airflow or Airbyte is a value addition.
Bachelor's degree in Information Systems, Computer Science, or a related field, with coursework in data and database management and computer-related training.
Qualifications & Experience- Proficient English communication skills (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.
- Exposure to a cloud platform (AWS, Azure, or GCP) is a plus.
- Excellent written and verbal communication skills.
- Strong analytical and problem-solving skills.
- Ability to complete projects in a timely manner.
- 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.
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