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Tech Stack
Tools & technologiesETLJavaPythonScala
About the role
Key responsibilities & impact- Lead the technical definition and evolution of the Data Lake strategy, ensuring a robust and scalable architecture;
- Design and structure data layers (Raw, Trusted, Refined) and processing flows based on ETL and ELT patterns;
- Establish guidelines so the architecture supports the company’s growth in volume and complexity;
- Develop and automate complex data pipelines, ensuring efficient delivery for predictive models and advanced analytics;
- Continuously optimize the performance of data flows, reducing latency and operational processing costs;
- Implement tools and practices that enable scalable data modeling oriented to strategic decision-making;
- Manage the data acquisition lifecycle, from ingestion through provisioning to stakeholders;
- Ensure data quality, integrity and reliability by establishing monitoring and validation processes;
- Act as a bridge between technology and the business areas, ensuring data solutions are aligned with the company’s strategic objectives.
Requirements
What you’ll need- Bachelor’s degree in a technology-related field.
- Strong experience with data pipelines and Big Data (Python/Java/Scala);
- Experience leading teams and working with agile methodologies;
- Advanced English;
- Self-driven, analytical, communicative and results-oriented.
Benefits
Comp & perks- Meal/Food allowance
- Transportation allowance / Parking
- Health insurance
- Dental plan
- Life insurance
- Wellhub
- Birthday day off
- Wellz (corporate mental health program)
- Saber Online (internal learning platform)
- Annual bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data lake strategyETLELTdata pipelinesBig DataPythonJavaScaladata modelingdata quality
Soft Skills
leadershipanalyticalcommunicativeresults-orientedself-driven
Certifications
Bachelor’s degree in technology-related field
