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Data Engineer, Associate
Benchmark Gensuite®. Develop and maintain data pipelines using Python and PySpark .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and maintaining data pipelines using Python and PySpark, with strong experience in SQL databases such as MS SQL Server and PostgreSQL. Demonstrates effective collaboration skills and a solid understanding of cloud-based data processing on platforms like AWS, Azure, or GCP.
Highest-signal resume keywords
Python ProgrammingPySpark Data ProcessingSQL Database ManagementAWS Data EngineeringGitHub Version Control
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData TransformationData Quality ChecksData Ingestion TroubleshootingOrchestration Tools (Airflow, Airbyte)
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
MS SQL ServerPostgreSQLAWSAzureGCP
Industry Keywords
Data ManagementCloud ComputingAI Concepts
Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud PlatformMS SQL ServerPostgresPySparkPythonSQL
About the role
Key responsibilities & impact- 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 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
- Potentially use orchestration tools such as Airflow or Airbyte
Requirements
What you’ll need- 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 (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
Benefits
Comp & perks- Annual bonus programs
- Regular team-building events
- Off-cycle reviews
- Team activities including happy hours
- Exciting virtual events
- Benchmark Gensuite Team Member Networks, including the Respect for Diversity Group and the Sustainability Group
- Safe and supportive spaces for team members who share a common identity