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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering, focusing on developing and maintaining data pipelines, implementing data quality controls, and supporting analytics and reporting. Proficient in Python, PySpark, SQL, and AWS, with a strong emphasis on Agile methodologies and collaboration across teams.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingDatabricks ExperienceAWS-Based Data PlatformsData Quality Controls
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPySparkSQLDatabricksData Pipeline DevelopmentData ModelingData Quality ControlsMetadata ManagementIncident ResolutionAI Technologies
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaborationAdaptabilityAttention to Detail
Tools & Technologies
AWSServiceNowGitCI/CD PipelinesAgile Delivery MethodologiesRally
Certifications & Qualifications
Bachelor's Degree in Computer Science or STEM
Industry Keywords
Data EngineeringData GovernanceOperational StabilityQuality Data ProductsContinuous Improvement
Tech Stack
Tools & technologiesAWSPySparkPythonServiceNowSQL
About the role
Key responsibilities & impact- Lead and coordinate Data Engineering activities across teams
- Develop and maintain data pipelines and transformations
- Provide technical guidance, design reviews, and implementation support to Data Engineers and vendors
- Implement and oversee data quality, testing, and monitoring controls
- Support analytics, reporting, and AI use cases
- Contribute to data modeling, architecture alignment, and technical standards
- Coordinate workspace operational requests, configurations, and platform support activities
- Apply engineering standards and development best practices
- Ensure compliance with testing, documentation, deployment, and operational requirements
- Support ServiceNow incidents, changes, and service requests
- Participate in root cause analysis and operational reporting
- Collaborate with stakeholders to clarify requirements and data definitions
- Support logical and physical data modeling activities
- Maintain metadata, lineage, and catalog information
- Implement data quality controls and validation rules
- Support data classification, access controls, and audit requirements
- Use AI assistants to accelerate development, testing, troubleshooting, and documentation
- Coordinate technical delivery across Data Engineers, Data Architects, Data Governance teams, and external development partners
- Translate business requirements into technical solutions and manage technical dependencies
- Monitor data pipeline reliability, support incident resolution, and drive improvements in data quality, performance, and operational stability
- Help deliver and evolve Quality Data Products from requirements definition through implementation, testing, deployment, and ongoing support
Requirements
What you’ll need- Bachelor's Degree in Computer Science or STEM disciplines
- 2+ years of Databricks experience
- At least 3+ years of experience
- Experience with Python, PySpark, SQL, and AWS-based data platforms
- Familiarity with Git, CI/CD pipelines, ServiceNow processes, and Agile delivery methodologies
- Basic experience with Rally (Agile Central) for backlog management, user story tracking, and sprint execution
- Experience supporting production environments
- Strong analytical and problem-solving skills
- Ability to quickly understand new business domains and datasets
- Basic understanding of Agile/Scrum practices, including user stories, backlog refinement, and sprint ceremonies
- Interest in AI technologies and modern engineering practices
- Strong focus on quality, automation, governance, and continuous improvement
Benefits
Comp & perks- Working flexible hours
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
- Training and development opportunities
- Reward and recognition programs