Analytics Engineering – Tech Lead

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Serve as the technical authority for Analytics Engineering at Asaas, defining and ensuring standards for modeling, version control, testing, and documentation • Lead the architecture of the shared analytics platform layer, ensuring modularity, reusability, and scalability • Advance tooling and the developer experience, including dbt projects, macros, internal packages, CI/CD, environments, and templates • Establish and maintain data quality and observability mechanisms, including automated tests, freshness monitoring, alerts, incident management, and pipeline health metrics • Ensure data governance and reliability in partnership with the Governance team, covering cataloging, documentation, access policies, and artifact lifecycle management • Monitor and optimize data platform costs and performance • Drive automation and apply Generative AI throughout the data lifecycle • Track analytics engineering trends and translate them into improvements for the team • Mentor and develop the team through code reviews, pairing, and technical forums • Foster a collaborative, inclusive, and impact-oriented environment

🎯 Requirements

• 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

🏖️ Benefits

• 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