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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in building and managing ETL/data pipelines, with a strong focus on SQL, Python, and data warehousing solutions. Proven ability to lead cross-functional data engineering initiatives while ensuring data privacy and security.
Highest-signal resume keywords
ETL/Data Pipeline DevelopmentExpert-Level SQL ExperiencePython ProgrammingData Warehousing Solutions DesignMonitoring and Alerting Systems
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 DevelopmentSQLPythonData Pipeline OrchestrationData WarehousingQuery OptimizationData PrivacyData SecurityMonitoring SystemsAlerting Systems
Soft Skills
Strong Communication SkillsCollaborationLeadershipProblem-SolvingIndependence
Tools & Technologies
AirflowPrestoPostgreSQLMySQL
Industry Keywords
Data EngineeringCross-Functional ProjectsStakeholder EngagementDigital Transformation
Tech Stack
Tools & technologiesAirflowETLMySQLPostgresPythonSQL
About the role
Key responsibilities & impact- Build and modify high-complexity ETL and data pipelines for large-scale datasets
- Develop and maintain monitoring and alerting systems for data, infrastructure, and workflow issues
- Design data warehousing solutions and optimize queries and pipelines for large-scale processing
- Collaborate with attorneys, data scientists, engineers, and technical and non-technical stakeholders
- Lead end-to-end data engineering initiatives, including planning, documentation, coordination, system design, and execution
- Identify data and system issues and implement reliability, efficiency, and visibility improvements
- Communicate technical concepts and project status to technical and non-technical audiences
- Attend internal practice community meetings
- Collaborate with the itD practice team on industry thought leadership
- Complete client case studies and learning materials, including blogs and media material
- Build material for the Digital Transformation practice
- Attend internal itD networking events
- Work with leadership on career fast-track opportunities
Requirements
What you’ll need- 5–7+ years of experience in data engineering or a closely related field
- Expert-level SQL experience, including relational or distributed query engines such as Presto, PostgreSQL, or MySQL
- Expert-level Python programming experience
- Expert-level experience building and managing ETL/data pipelines using pipeline orchestration tools such as Airflow or comparable technologies
- Demonstrated experience leading data engineering efforts on large, cross-functional projects involving technical and non-technical stakeholders
- Demonstrated ability to design and deliver high-complexity monitoring and alerting systems
- Strong written and verbal communication skills
- Experience working independently while collaborating across multiple stakeholder groups
- Strong understanding of data privacy and security considerations in data engineering environments
- Bachelor’s degree in a relevant field or equivalent work experience required
- Direct W2 candidate required; sponsorship unavailable
Benefits
Comp & perks- Comprehensive medical benefits
- Medical, dental, vision, and life insurance
- 401K + matching
- Paid holidays
- Networking and career learning and development programs
- Reasonable accommodation for individuals with disabilities
- Career fast-track opportunities
- Internal networking events
- Global community and opportunities to give back to causes that matter