Data Engineer

🕒 August 15

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

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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WEBJUMP

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

🤝 B2B

🛍️ eCommerce

📣 Marketing

B2B • eCommerce • Marketing

WEBJUMP is a digital marketing agency that specializes in providing innovative online marketing solutions, including search engine optimization (SEO), social media marketing, and content creation. The company focuses on helping businesses enhance their online presence and achieve better visibility and engagement with their target audience. Through data-driven strategies and creative campaigns, WEBJUMP aims to drive traffic and generate leads for its clients.

📋 Description

• Map and restructure data ingestion and transformation pipelines in Databricks • Redesign data marts and data lake layers that feed CRM and CDP platforms • Build and maintain ETL/ELT jobs using Spark, SQL and Delta Lake • Integrate Databricks with Salesforce Data Cloud for data ingestion, export and synchronization • Participate in technical discovery, mapping the current architecture (As-Is) and designing the target architecture (To-Be) • Ensure data governance, quality, performance and processing cost control • Document architecture, pipelines and technical decisions • Collaborate with Data Cloud and Marketing Cloud specialists on data model definition

🎯 Requirements

• Degree in Computer Science, Engineering, Information Systems, Statistics or related fields • Proven experience with Databricks in a production environment, including Spark, Delta Lake, notebooks and jobs/workflows • Advanced SQL • Python applied to data pipelines • Experience with data lake/lakehouse architecture • Fluent Portuguese • Intermediate English for technical documentation and meeting participation • Knowledge of PySpark and Spark SQL • Familiarity with Databricks, Workflows, Delta Lake and Unity Catalog • Python for data engineering • Dimensional and analytical data modeling • Orchestration of pipelines with Airflow, Azure Data Factory or similar • Data governance and data quality best practices • Differentials: Databricks certification, experience with Salesforce Data Cloud or other CDP platforms, Identity Resolution, customer data unification, consulting project experience and advanced English

🏖️ Benefits

• Meal and food allowance • Home office allowance • Profit sharing / results participation program • Support for certifications • Health insurance with co-payment • Life insurance • Childcare assistance • Birthday day off • Zenklub (mental health support) • Extended maternity/paternity leave • Talkers program (English support) • Discounts on MBA and postgraduate courses • Dental plan (optional, employee-paid) • Total Pass (optional, employee-paid) • Partnership with Sesc