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Senior Analytics Engineering Tech Lead
Lead analytics engineering at Asaas, setting standards for data quality and automating its analytics platform. Advance dbt, CI/CD, governance, and observability for a fintech serving more than 200,000 customers.
विवरण
- Set technical standards for Analytics Engineering at Asaas across data modeling, version control, testing, and documentation.
- Architect a shared analytics platform layer designed for modularity, reuse, and scale.
- Improve tools and developer workflows across dbt projects, macros, internal packages, CI/CD, environments, and templates.
- Build and maintain data quality and observability practices, including automated tests, freshness checks, alerts, incident handling, and pipeline health metrics.
- Partner with the Governance team to support reliable data through cataloging, documentation, access policies, and artifact lifecycle management.
- Track data platform costs and performance, and optimize both.
- Automate work and apply generative AI across the data lifecycle.
- Follow developments in analytics engineering and turn relevant trends into team improvements.
- Coach and grow team members through code reviews, pairing, and technical forums.
- Build a collaborative, inclusive team focused on meaningful impact.
आवश्यकताएँ
- Experience providing formal or informal technical leadership to data teams
- Experience with dimensional modeling and the development of scalable analytics pipelines
- Advanced SQL skills
- Experience with dbt, including project organization, macros, tests, and documentation
- Experience with Databricks, Unity Catalog, Asset Bundles, permission management, and environment management
- Experience with Python for pipeline orchestration and automation, using Airflow or an equivalent tool
- Experience with structured code version control using Git and GitHub
- Experience applying software engineering practices to data, including CI/CD, code reviews, and automated testing
- Experience defining and implementing scalable technical standards for other data teams
- Degree or equivalent experience in Engineering, Data Science, Computer Science, Information Systems, Statistics, Economics, or a related field
- Preferred: Previous experience in fintech, payments, or financial services
- Preferred: Knowledge of infrastructure as code (IaC) using Terraform
- Preferred: Experience productionizing machine learning projects applied to digital products
- Preferred: Participation in digital product architecture projects, such as data mesh, event-driven architecture, and CDC
- Preferred: Experience with statistical testing and measuring product impact
लाभ
- Medical and dental insurance with no copay
- Life insurance
- Prescription medication assistance
- Fitness allowance
- Four free therapy or nutritionist sessions per month
- Quick massage at headquarters
- Flexible meal and food allowance on a Visa card
- Complimentary food at headquarters
- Childcare assistance
- Parental support program
- Extended maternity and paternity leave
- In-house training platform
- Education assistance covering 70% of tuition for undergraduate programs and language courses, as well as courses and books
- Home office allowance
- Work equipment
- Furniture allowance
- Partnership with WOBA for access to coworking spaces throughout Brazil
- Birthday month day off
- Happy hour allowance
- Referral bonus for new hires
- Bonus based on annual goals
- Stock option plan
- No dress code
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