Data Engineer

Job not on LinkedIn

🕒 August 8

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

VIACERTA Banking SA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

VIACERTA Banking SA is a financial institution that focuses on providing credit simulation services to its clients. By offering tools for individuals and businesses to assess their credit options, VIACERTA aims to simplify the borrowing process and empower customers to make informed financial decisions.

📋 Description

• Maintain and evolve the SQL Server–based Data Warehouse • Develop, maintain, and monitor ETL and ELT processes • Design and refine dimensional and analytical data models • Implement integrations with APIs for ingestion of transactional data • Develop Python scripts and routines for data extraction, transformation, and loading • Ensure data quality, consistency, and reliability • Monitor data loads, identify failures, and resolve issues • Optimize queries, processes, and routines for improved performance • Document data flows, processes, and data models • Support BI, Analytics, and Product teams in understanding and using data • Contribute to continuous improvements in data engineering architecture and processes

🎯 Requirements

• Proficiency in SQL, including queries, joins, CTEs, stored procedures, and performance considerations • Basic knowledge of ETL and ELT concepts • Understanding of data modeling, especially dimensional modeling • Experience with Python for data manipulation, including Pandas, Requests, and script automation • Familiarity with consuming and integrating REST APIs • Ability to read and understand technical documentation • Interest in working in a continuous-learning and evolving-technology environment • Previous experience with Data Warehousing (preferred) • Familiarity with SQL Server (preferred) • Knowledge of code versioning using Git (preferred) • Familiarity with data quality and data governance best practices (preferred) • Familiarity with BI tools and data visualization (preferred) • Knowledge of monitoring data pipelines and processes (preferred) • Analytical mindset and problem-solving orientation • Organized and detail-oriented • Proactive in identifying and investigating data inconsistencies • Good communication with technical and non-technical audiences • Quick to learn new technologies and methodologies • Ability to work collaboratively in a team • Commitment to quality, deadlines, and results • Curiosity and interest in data and innovation

🏖️ Benefits

• Meal allowance • Transportation allowance • Unimed national health plan • Psychological counseling • Life insurance • Day off in birthday month • 14th and 15th salary payments • Profit sharing • TotalPass