Microsoft Fabric Analytics Engineer

We need a really strong English.

Offering a $5000 USD wage.

We are seeking an experienced Microsoft Fabric Analytics Engineer to support the design and delivery of modern analytics solutions. This role will focus on building scalable, production-grade data and reporting solutions using Microsoft Fabric, Power

BI, and PySpark in a collaborative, multi-developer environment.

This is a hands-on engineering role requiring strong experience in end-to-end analytics development, CI/CD, and team-based Power BI delivery.

Strong preference should be given to candidates who have previously worked in mid- to large-scale U.S. corporate environments, regulated industries, enterprise analytics teams, or large multi-developer Fabric, Power BI, Databricks, or Azure data platform projects. The idóneo candidate has experience working with shared assets, formal pull requests, CI/CD, deployment pipelines, production support, stakeholder-facing deliverables, and structured review or release processes.

Recruiters should screen for evidence that the candidate has personally owned production deliverables, communicated risks early, resolved post-release issues, and worked successfully in an environment where quality, traceability, documentation, and accountability are expected.

Core Requirements (Must-Have)

Microsoft Fabric + Power BI (Current Experience)

 Recent, hands-on experience (within the last 1–2 years) with:

o Microsoft Fabric (Lakehouse, Notebooks, Data Pipelines, and/or Semantic

Models)

o Power BI (data modeling, report development, and performance tuning)

 Proven ability to build and support production-grade Power BI solutions





PySpark / Spark-Based Data Engineering

 Hands-on experience using PySpark or Spark SQL for data transformation

 Experience working with large, complex datasets in distributed environments

(Fabric, Databricks, or similar)

Collaborative Power BI Development

 Experience working in a multi-developer Power BI environment, including:

o Shared datasets / semantic models o Coordinating changes across reports and models o Managing dependencies across multiple developers

CI/CD & Deployment (Required)

 Strong experience implementing CI/CD pipelines for analytics solutions,

including:

o Azure DevOps, GitHub, or similar tools o Deployment of Power BI, Fabric artifacts, notebooks, and pipelines o Managing environment promotion (Dev → Test → Prod)

 Experience working in a complex analytics team with structured deployment processes

Programming & Data Modeling

 Strong proficiency in:

o SQL (advanced querying and performance tuning)

o Python (PySpark preferred)

o Power BI stack: DAX and Power Query (M)

 Experience designing scalable, maintainable data models (e.g., star schema)

Ownership and Production Accountability

 Demonstrated experience owning production analytics deliverables in a professional, team-based environment.





 Proven ability to clarify ambiguous requirements, identify dependencies,

communicate risks early, and drive work forward without waiting passively for direction.

 Experience supporting promoted solutions after deployment, including defect investigation, stakeholder communication, and timely remediation.

 Ability to explain and defend technical decisions during code review, including code written manually, reused from prior work, or assisted by AI tools.

 Strong understanding that AI-assisted development does not reduce the need for testing, documentation, review, validation, or personal accountability.

Professional & Communication Skills

 Strong ability to operate independently with minimal oversight

 Excellent communication skills, including:

o Translating ambiguous business or research requirements into technical solutions o Proactively engaging stakeholders to clarify requirements and validate outputs o Explaining technical concepts to non-technical audiences

 Strong documentation practices (technical documentation, data definitions,

solution handoff)

Strongly Preferred (High-Value Qualifications)

 Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

o Strongly preferred and considered a significant advantage o Candidates without certification must demonstrate equivalent hands-on experience with Microsoft Fabric and Power BI at an enterprise level

 Prior experience with Microsoft Fabric architecture, including:

o Lakehouse design (medallion architecture)

o Data Pipelines and orchestration o Semantic modeling in Fabric

📌 Microsoft Fabric Analytics Engineer ( wage) (Argentina)
🏢 Ultrix Labs
📍 Argentina