Data Engineer
Silver.dev
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇻🇪 Venezuela
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowBigQueryCloudETLGoogle Cloud PlatformPythonSQL
About the role
- Design, build, and optimize data pipelines for the consolidation and analysis of accounting and financial information.
- Implement optimized data models for financial reporting, reconciliations, and audits.
- Ensure data quality and consistency through validations, alerts, and control processes.
- Automate reports and dashboards to monitor key metrics (cash flow, revenue, costs, taxes, etc.).
- Collaborate with Finance and Accounting teams to translate business needs into data-driven solutions.
- Optimize processing times and storage efficiency within the Data Warehouse.
- Ensure the security and governance of financial data.
Requirements
- Minimum of 4 years of experience in Data Engineer or Analytics Engineer roles, ideally in finance, accounting, or fintech sectors.
- Advanced SQL and strong knowledge of data modeling for financial analysis.
- Experience building ETL/ELT pipelines using tools like dbt, Dataform, Airflow, or similar.
- Familiarity with cloud data platforms (preferably GCP: BigQuery, Cloud Functions, Cloud Storage).
- Proficiency in Python for data manipulation and processing.
- Understanding of accounting and financial principles to design solutions aligned with team needs.
- Ability to work with large volumes of data and optimize their processing.
- Strong analytical and communication skills to collaborate with non-technical teams.
Benefits
- This position is open for candidates based anywhere within LATAM.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingETLELTPythondata manipulationdata pipeline optimizationfinancial reportingdata quality validationdata governance
Soft skills
analytical skillscommunication skillscollaborationproblem-solving