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Senior Data Engineer
AssentSenior Data Engineer building secure, scalable data platforms for Assent’s product compliance intelligence network. Driving architecture, hands-on implementation, governance, and technical mentorship.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data systems and architectures, with proficiency in AWS, dbt, Snowflake, R, Python, and SQL. Strong project management and analytical skills are essential for aligning data initiatives with business objectives and optimizing data delivery.
Highest-signal resume keywords
Data Engineering ExperienceAWS ProficiencySQL ProficiencyProject Management SkillsData Architecture Design
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 EngineeringData ArchitectureSQLPythonRAWSDbtSnowflakeData ModelingData Quality Standards
Soft Skills
Strong Communication SkillsAnalytical SkillsAttention to DetailBusiness AcumenCollaboration
Tools & Technologies
GitSQL ServerData Management SystemsAgile MethodologiesScrum Ceremonies
Industry Keywords
Data GovernanceData Delivery OptimizationCorporate Security PoliciesProcess ImprovementAdvanced Analytics
Tech Stack
Tools & technologiesAWSPythonSQL
About the role
Key responsibilities & impact- Contribute to the strategic vision for data engineering and participate in architectural design and development of complex data solutions
- Design and implement data systems and infrastructure for reliability and scalability
- Execute day-to-day engineering tasks and hands-on implementation
- Influence decisions regarding the data technology stack, infrastructure, and tools
- Create and deploy data architectures and workflows
- Set coding standards and best practices for the Data Engineering & Operations team
- Conduct and participate in code reviews
- Collaborate with database developers, software development, product management, and AI/ML developers
- Monitor progress, adjust priorities, and meet project deadlines and objectives
- Identify process improvements, automate manual processes, and optimize data delivery
- Provide technical guidance and training to peers
- Follow corporate security policies and procedures
Requirements
What you’ll need- Degree in a related field and 7+ years of data engineering experience
- Strong project management skills
- Ability to communicate complex concepts effectively
- Proficiency in AWS, dbt, Snowflake, Git, R, Python, SQL, and SQL Server
- Strong analytical skills with attention to detail and accuracy
- Understanding of data management systems, warehouse methodologies, data quality standards, data modeling techniques, governance protocols, and advanced analytics
- Familiarity with agile work environments and scrum ceremonies
- Strong business acumen and experience aligning data initiatives with business objectives
- Ability to perform the duties and responsibilities satisfactorily
- Familiarity with and adherence to corporate security policies and procedures
Benefits
Comp & perks- Vacation time that increases with tenure
- Comprehensive benefits packages (details vary by country)
- Life leave days
- Competitive base salary
- Corporate bonus program
- Retirement savings options
- Flexible work options
- Volunteer days
- Opportunities to get involved in corporate giving initiatives
- Professional development days available from the start
- Diversity, inclusion, and employee resource group initiatives
- Interview and selection process assistance or accommodation