Data Engineer III

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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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Stone & Company

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

🤝 B2B

Consulting • B2B

Stone + Company is a management and strategy consulting firm that empowers corporate clients to achieve exceptional results by transforming disjointed strategies or crafting new ones into a unified plan designed for optimal performance and team synchronization. The firm focuses on delivering fast and effective outcomes for its clients.

📋 Description

• Build and enhance data pipelines (ETL/ELT), developing automated, reliable, and scalable workflows • Participate in migrating CRM pipelines to the new data architecture • Model and make data available for segmentation and personalization across analytical layers • Document and make data available with appropriate frequency and latency for batch loads and near-real-time use cases • Define and monitor data contracts, SLAs, owners, and quality criteria • Prevent and resolve failures that could affect campaigns and analytics • Build monitoring, telemetry, and alerting to proactively detect issues • Support the integration of the data environment with Salesforce Marketing Cloud, Amplitude, and other automation and engagement tools • Support journey operations and workflow cleanup • Optimize processing performance and costs • Document solutions, support colleagues, and contribute to best practices and the team's growth

🎯 Requirements

• Proficiency in SQL (modeling, procedures, DML, DDL, and pipelines) and Python • Experience with cloud data platforms and data lake/lakehouse architectures • Databricks experience is a plus • Experience with GCP (BigQuery) is also welcome • Experience orchestrating pipelines using Airflow, Databricks Workflows, or equivalent tools • Software engineering best practices: version control (Git), testing, code review, and documentation • Understanding of data quality, governance, and observability practices (contracts, monitoring, and alerting) • Preferred: familiarity with Salesforce Marketing Cloud, Amplitude, customer segmentation concepts, and CDPs • Preferred: knowledge of the payments market and financial products

🏖️ Benefits

• Fixed salary • Variable compensation package* (profit-sharing, long-term incentive plan, or commission—available based on role eligibility) • Health and dental insurance with copayments • Verde Virtual Hospital: 24/7 telemedicine team • Prescription medication subsidy • Meal and/or food allowance—Pluxee* • Childcare assistance (for children up to 5 years and 11 months old) • Assistance for employees with children with disabilities • Life insurance • Fuel allowance or commuting assistance* • Home office allowance* (for Hybrid or Remote contracts only) • New parent welcome kit • SESC partnership* • Education benefit—internal self-development platform (Studa and Stone Library) • Acolhe360º—free emotional support • Quick massage and on-site clinic* • Wellhub • TotalPass • Pet Club • Flash • Férias&Co • Transportation voucher • Allya • Educational partnerships