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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 scalable data solutions, data governance, and quality assurance. Proficient in leading technical teams, mentoring engineers, and fostering collaboration to drive engineering excellence.
Highest-signal resume keywords
Data EngineeringDatabricksApache SparkPython ProgrammingCloud Data Platforms
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 ModelingETL/ELT PipelinesData WarehousingCI/CDDevOpsInfrastructure as CodeData GovernanceQuality FrameworksLakehouse ArchitecturesTechnical Mentorship
Soft Skills
Advanced English CommunicationAnalytical SkillsProblem-SolvingCollaborationStakeholder Communication
Tools & Technologies
AWSAzureGCPDatabricksCloud Technologies
Certifications & Qualifications
Databricks CertificationCloud Platform CertificationData Engineering Certification
Industry Keywords
Data Engineering Best PracticesData IntegrityData ReliabilityData GovernanceTechnical Advisor
Tech Stack
Tools & technologiesApacheAWSAzureCloudETLGoogle Cloud PlatformJavaPythonScalaSpark
About the role
Key responsibilities & impact- Lead and support multiple Data Engineering teams, fostering a collaborative, innovative, and high-performance environment
- Provide technical mentorship and guidance to engineers
- Promote engineering best practices, code quality, and continuous improvement
- Design, review, and oversee scalable data solutions using Databricks and modern cloud technologies
- Define and enforce coding standards, architecture principles, and documentation guidelines
- Conduct code reviews and provide technical feedback
- Drive process optimization, automation, and engineering excellence initiatives
- Stay current with industry trends and best practices in Data Engineering and Analytics
- Review and validate technical deliverables against engineering standards and client expectations
- Establish and improve quality assurance processes for data integrity, reliability, and governance
- Support scalable and sustainable data architecture practices
- Partner with clients to understand business and technical requirements
- Act as a trusted technical advisor aligned with client goals and standards
- Facilitate communication among technical teams, stakeholders, and business partners for successful project delivery
Requirements
What you’ll need- Advanced English communication skills (written and spoken)
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field
- Strong experience in Data Engineering
- Strong hands-on experience with Databricks
- Solid experience with Apache Spark and cloud data platforms such as AWS, Azure, or GCP
- Strong programming skills in Python, Scala, or Java
- Experience with data modeling, ETL/ELT pipelines, and data warehousing concepts
- Proven experience leading technical teams, mentoring engineers, and driving technical decisions
- Strong analytical, problem-solving, and communication skills
- Ability to manage multiple priorities in fast-paced and dynamic environments
- Experience working in consulting environments and with international clients
- Experience defining data governance and quality frameworks
- Knowledge of modern data architecture patterns, including Lakehouse architectures
- Experience with CI/CD, DevOps, and Infrastructure as Code practices
- Certifications related to Databricks, Cloud Platforms, or Data Engineering
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Health and Well-being team, inclusion specialists, and affinity groups
- Support and accommodations for people with disabilities
