Data Engineer — Microsoft Fabric & Data Pipelines

Tonic3; Buenos Aires; Remote; ARS 83.531.000 - 146.180.000; Teilzeit

Zusammenfassung

Tonic3 is seeking a skilled Data Engineer to design, build, and optimize automated data pipelines using the Microsoft ecosystem. You will implement a Medallion Architecture (Bronze, Silver, Gold) and ensure data readiness for enterprise analytics and Power BI dashboards built on Fabric.

Role emphasizes part-time, hourly engagement with remote collaboration, requiring strong Python/PySpark and SQL skills and experience with Azure data services.

Qualifikationen

• Experience building and monitoring automated ETL/ELT pipelines.
• Experience implementing Data Lake and Medallion Architecture (Bronze, Silver, Gold).
• Strong Python/PySpark and SQL skills.
• Experience with Azure data stack (Fabric, Data Factory, Synapse, ADLS).
• Excellent English communication for client collaboration.

Aufgaben

• Design, build, and deploy scalable ETL/ELT pipelines from multiple sources into cloud.
• Establish Bronze/Silver/Gold Medallion Architecture storage layers.
• Develop and run automated Python/PySpark scripts for data validation and transformation.
• Model and stage data for Power BI reporting on top of Fabric.
• Orchestrate workflows with Microsoft Fabric, Data Factory, and Synapse Analytics.
• Collaborate with Solution Architects, Project Managers, and BI Analysts to align with client requirements.

Kenntnisse

ETL/ELT pipelines

Python / PySpark

Advanced SQL

Data Lake / Medallion Architecture

Microsoft Azure / Fabric ecosystem

English communication

Part-time availability

Tools

Microsoft Fabric

Data Factory

Synapse Analytics

Azure Data Lake Storage

Power BI

Jobbeschreibung

Tonic3 is hiring: Data Engineer - Microsoft Fabric & Data Pipelines

Part-time | Hourly engagement

Strong written and spoken English required

At Tonic3, we're looking for a skilled Data Engineer with strong expertise in the Microsoft ecosystem to support client proposals and enterprise project execution.

You'll design, build, and optimize automated data pipelines, extracting data from multiple enterprise sources, developing validation and transformation scripts, and implementing a Medallion Architecture with Bronze, Silver, and Gold layers.

Working with Microsoft Azure and Microsoft Fabric, you'll create reliable datasets for enterprise analytics and dashboards built in Microsoft Power BI directly on top of Microsoft Fabric.

What You’ll Do

• Data Pipeline Architecture & Engineering: Design, build, and deploy scalable ETL/ELT pipelines to extract data from operational systems, REST APIs, databases, and flat files into the cloud environment.
• Medallion Architecture Implementation: Establish and maintain a Data Lake/Lakehouse framework with Bronze (raw intake), Silver (cleansed and validated), and Gold (business-ready, aggregated) storage layers.
• Scripting, Transformation & Validation: Develop and execute automated scripts using Python, PySpark, and SQL to validate schema compliance, enforce data quality rules, and resolve inconsistencies.
• Target Data Loading & Data Modeling: Stage and structure target data repositories to optimize query performance, data modeling, and direct integration with Microsoft Power BI.
• Microsoft Platform Integration: Use Microsoft Fabric, Data Factory, Synapse Analytics, and Azure Data Lake Storage to orchestrate workflows and monitor data processing pipelines.
• Cross-Functional Collaboration: Work closely with Solution Architects, Project Managers, and BI Analysts to align deliverables with client reporting and business logic requirements.

What We’re Looking For

• Strong written and spoken English to collaborate with clients and teams and clearly explain technical concepts.
• Hands-on experience building, scheduling, and monitoring automated ETL/ELT pipelines.
• Experience implementing Data Lake and Medallion Architecture patterns, including Bronze, Silver, and Gold layers.
• Strong proficiency in Python or PySpark and advanced SQL for data manipulation, extraction, and script execution.
• Solid experience within the Microsoft Cloud and Azure data ecosystem.
• Experience with data quality validation, error handling, and loading data into target locations for downstream consumption.
• Familiarity with data modeling requirements for Microsoft Power BI reporting.
• Availability for a part-time, hourly engagement.

Nice To Have

• Hands-on experience with Microsoft Fabric: OneLake, Lakehouse, Data Factory, and Synapse Data Engineering.
• Microsoft certifications such as DP-700 (Fabric Data Engineer Associate), DP-203 (Azure Data Engineer), or AZ-104 (Azure Administrator).
• Experience in Agile environments with client-facing deliverables and Statement of Work (SOW) milestones.