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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing data pipelines and workflows using DBT, Snowflake, and Apache Spark, while ensuring data quality and performance. Proficient in cloud-based data integration and migration, with strong problem-solving and collaboration skills.
Highest-signal resume keywords
DBT Model DevelopmentSnowflake Workload OptimizationPython Data ProcessingApache Spark ExperienceAWS Data Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL Query DevelopmentData ModelingData WarehousingETL PatternsAutomated TestingData GovernanceOrchestrationMonitoringData Quality TestingLegacy Data Modernization
Soft Skills
Problem-SolvingCommunicationCollaboration
Tools & Technologies
IBM DataStageCloud-Based PlatformsAgile DeliveryCI/CD PracticesData Lake Concepts
Industry Keywords
Data Integration PatternsMainframe Data FormatsCOBOL CopybooksDistributed Data Processing
Tech Stack
Tools & technologiesApacheAWSCloudETLPythonSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable data pipelines and transformation workflows
- Build and optimize DBT models and Snowflake workloads, with attention to performance, data quality, and cost
- Develop data-processing applications and automation using Python and Apache Spark
- Integrate data from cloud, relational, and mainframe systems, including files defined by COBOL copybooks
- Support and modernize existing IBM DataStage workflows while enabling migration to cloud-based platforms
- Apply software engineering practices such as version control, code reviews, automated testing, CI/CD, and technical documentation
- Collaborate with product, analytics, architecture, and operations teams to translate requirements into dependable data solutions
- Troubleshoot production issues and improve pipeline reliability, observability, and operational support
Requirements
What you’ll need- Significant professional software engineering or data engineering 5+ years of experience
- Strong SQL skills, including query development, optimization, and data modeling
- Hands-on experience with DBT and Snowflake
- Proficiency in Python and experience building data-processing solutions with Apache Spark
- Experience with AWS data services and cloud-based application or pipeline deployment
- Knowledge of IBM DataStage and enterprise data integration patterns
- Familiarity with mainframe data formats and the ability to interpret COBOL copybooks
- Strong problem-solving, communication, and collaboration skills
- Experience modernizing legacy data platforms or migrating workloads to the cloud
- Knowledge of data warehousing, dimensional modeling, and data governance
- Experience with orchestration, monitoring, and automated data-quality testing
- Familiarity with Agile delivery and CI/CD practices
- Good understanding of data lake concepts, ETL patterns, data modeling, distributed data processing
- Experience developing and supporting production data pipelines
Benefits
Comp & perks- Always-on learning and development
- Collaborative work environment
- Opportunities to give back
- Competitive salary and benefits