Data Engineer

Kumaran

Toronto

Vor Ort

CAD 90.000 - 140.000

Vollzeit

14 Tage+

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Zusammenfassung

Kumaran Systems is seeking a hands-on Senior Analytics Engineer to modernise enterprise reporting solutions on Data-bricks and Power BI. You will develop governed datasets, interactive dashboards, and automated reporting for business users, collaborating across data engineering, analytics, and reporting layers.

The role emphasizes building scalable reporting architectures, optimizing performance, and ensuring reliable data delivery with stakeholder alignment.

Qualifikationen

  • Hands-on experience building enterprise reporting solutions on Databricks and Power BI.
  • Ability to work across data engineering, reporting and analytics layers.
  • Experience designing governed datasets and self-service reporting.

Aufgaben

  • Design and build reporting datasets in Databricks using SQL and Delta tables.
  • Create reusable reporting views and data models for business consumption.
  • Develop Power BI dashboards, semantic models, and self-service reporting solutions.
  • Implement automated report generation and distribution solutions.
  • Work with business analysts and stakeholders to translate reporting requirements into technical solutions.
  • Support data reconciliation, testing, and production deployment activities.
  • Optimize reporting performance and data access patterns.

Kenntnisse

Data-bricks
SQL Warehouses
Semantic Models
Data Warehousing concepts
Data validation and reconciliation

Jobbeschreibung

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Job Description
Overview

We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.

The role will support the development of governed reporting datasets, interactive Power BI dashboards, and automated reporting solutions for business users. The ideal candidate should be comfortable working across data engineering, reporting, and analytics layers.

Responsibilities
  • Design and build reporting datasets in Databricks using SQL and Delta tables.
  • Create reusable reporting views and data models for business consumption.
  • Develop Power BI dashboards, semantic models, and self-service reporting solutions.
  • Implement automated report generation and distribution solutions.
  • Work with business analysts and stakeholders to translate reporting requirements into technical solutions.
  • Support data reconciliation, testing, and production deployment activities.
  • Optimize reporting performance and data access patterns.
Required Skills
Data-bricks
  • Unity Catalogue
  • SQL Warehouses
  • Semantic Models
  • Data Warehousing concepts
  • Data validation and reconciliation
Nice to Have
  • Report scheduling and distribution
  • Financial services or investment management experience
  • Data-bricks reporting architecture experience
  • Service Principals and security concepts

Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

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