FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing and maintaining ETL/ELT pipelines, with strong SQL and Python skills for data processing. Experienced in cloud environments, particularly AWS, and familiar with data warehousing concepts and modern data platforms.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython for Data ProcessingDatabricks and Apache SparkCloud Environment Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython for Data ProcessingData ModelingData Quality Assurance
Soft Skills
Analytical SkillsTroubleshooting SkillsCommunication Skills
Tools & Technologies
DatabricksApache SparkSnowflakeAWSCI/CD
Industry Keywords
Data EngineeringSoftware EngineeringData WarehousingModern Data PlatformsRelational and Dimensional Data Modeling
Tech Stack
Tools & technologiesApacheAWSCloudETLPythonSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain ETL/ELT pipelines
- Build and optimize data transformations for analytics and reporting
- Develop and maintain data models, datasets, and integration solutions
- Ensure data quality, consistency, and reliability through testing and monitoring
- Troubleshoot and resolve data pipeline and performance issues
- Collaborate with analysts, engineers, and business stakeholders
- Contribute to cloud-based data platforms
- Participate in code reviews and technical discussions
- Create and maintain technical documentation
- Continuously improve data processes and platform performance
Requirements
What you’ll need- 3+ years of experience in Data Engineering or Software Engineering
- Upper-Intermediate English level
- Strong SQL skills and understanding of relational and dimensional data modeling
- Hands-on experience with Python for data processing and automation
- Experience building and maintaining ETL/ELT pipelines
- Hands-on experience with Databricks and Apache Spark
- Experience working with Snowflake
- Understanding of data warehousing and modern data platform concepts
- Experience working with cloud environments, preferably AWS
- Familiarity with CI/CD, Git, and software engineering best practices
- Strong analytical, troubleshooting, and communication skills
Benefits
Comp & perks- Remote work
- Opportunities for professional growth
- Knowledge sharing
- Long-term career development
- Supportive engineering environment
- Continuous learning
- Technical excellence