19 oct
|
World-Business-Lenders,-LL
|
Buenos Aires
19 oct
World-Business-Lenders,-LL
Buenos Aires
Overview
At World Business Lenders (WBL), we provide versátil, short-term commercial loans backed by real estate to help small and medium-sized businesses across the United States, particularly those facing difficulties with traditional financing.
This position is a Contract/Consultant role with working hours typically from9:00 am-6:00 pm Eastern Standard Time, Monday through Friday. Applicants should have an excellent command of the English language, both spoken and written.
We request that you submit your CV in English.
Job Duties and Responsibilities
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.
Role Requirements
Education:
A Bachelor's degree Computer Science, Engineering, Information Systems, or a related field is preferred — but we also highly value equivalent hands‐on experience.
Experience:
4 to 7 years of experience as a Data Engineer.
We value practical, hands‐on expertise that goes beyond just theoretical knowledge.
Required Background / Industry Experience
Experience working with cloud-based data platforms and environments
Strong SQL skills with data modeling experience for data warehouses
Strong Python skills (especially notebooks)
for building and maintaining data workflows
Experience developing and maintaining ETL/ELT processes
Experience working with data warehouses used by reporting/business teams
Experience using Git/GitHub for version control in collaborative environments
Understanding of data engineering best practices:
Pipeline orchestration and dependency management
Data quality, validation, and monitoring fundamentals
Required for migration-focused role
Hands‐on data migration experience:
Schema mapping and transformation
Data reconciliation and validation (must be strong here)
Data quality checks, integrity validation, and issue resolution
Backfills and historical data handling
Cutover planning and execution
Required for automation-focused role
Experience building and maintaining automated data pipelines:
Scheduling, orchestration, and failure handling
Workflow reliability, monitoring, and repeatability
Preferred
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines
Experience with data quality and observability practices:
Validation frameworks, alerting,
SLAs, monitoring
Experience optimizing performance in data environments:
Query tuning, partitioning, indexing, cost optimization
Familiarity with modern data formats and large-scale processing:
Parquet, Delta, incremental processing patterns
Experience integrating with external systems:
REST APIs, authentication, retries, error handling
Exposure to CI/CD practices for data workflows:
Git-based deployments, PR workflows, environment promotion
Key Soft Skills
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.
Ownership & accountability: takes end‐to‐end responsibility for pipelines, data quality, and outcomes.
Problem‐solving mindset: able to debug complex data issues and work through ambiguity independently.
Collaboration: works effectively across engineering, analytics, and business teams.
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).
Technical Skills
Proficiency in SQL, Python, cloud technologies, and data competency.
Work Requirements
Must be available to work Monday–Friday, 9:00 AM – 6:00 PM Eastern Time.
Must have a stable internet connection and professional remote working setup.
Resume must be submitted in English to be considered.
What We Offer
Compensation in USD.
Benefits include paid time off (PTO).
Work Environment: Fully remote work environment.
#J--Ljbffr
📌 Data Integration And Governance Analyst (Buenos Aires)
🏢 World-Business-Lenders,-LL
📍 Buenos Aires