Data Engineer, Part-Time

🔥 12 hours ago

🇧🇷 Brazil – Remote

⏱ Part Time

🟡 Mid-level

🟠 Senior

🚰 Data 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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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Generate technical evidence for the assessment by working directly in the environments to extract factual information and validate interview findings with concrete data • Inventory data sources, source systems, ingestion pipelines, and loading frequencies and windows • Map integrations, dependencies, and single points of failure • Identify table structures, naming conventions, and modeling patterns in use • Document existing orchestration, version control, and observability practices • Perform sample-based checks on critical objects for completeness, uniqueness, accuracy, and consistency across systems • Investigate duplicate records and identifier collisions in HCP and customer master data • Verify the existence and behavior of historical tracking versus snapshot data • Test identifier reconciliation across different platforms • Update the Gap & Risk Register with findings, evidence, and estimated remediation effort

🎯 Requirements

• Availability for a temporary one-month assignment, working 20 hours per week • Practical data engineering experience, including advanced SQL, Python, and ingestion and transformation pipelines • Hands-on Databricks experience in production environments, including Spark, Delta Lake, and the ability to read third-party notebooks and jobs • Ability to audit an environment built by another team without documentation and reconstruct its logic from the code and data • Experience with API- and file-based integrations in batch and near-real-time scenarios • Candidates who do not meet every requirement are still encouraged to apply

🏖️ Benefits

• Growth opportunities • Values-driven culture • International career opportunities • Environment designed to support continuous learning • Culture that encourages creativity, diversity, and autonomy • Global operating model that enables integrated and seamless collaboration • Inclusive environment with support for professional growth and development • Accommodations during the selection process when necessary