BI Developer

TechDigital Group; Rahway (NJ); In loco; USD 110.000 - 155.000; Tempo pieno

Descrizione del lavoro

TechDigital Group is seeking a Data Modeler / BI Developer to design end-to-end data models and dashboards across Qlik Sense, Power BI, DBT, and Databricks.

You will own data architecture for Power BI/Power Platform, implement DBT-based transformations, and ensure data accuracy through scalable semantic models.

Responsibilities include Qlik Sense tier configuration, Bronze/Silver/Gold data layers, RBAC management, and CI/CD deployment support.

Competenze

• Experience designing data models and dashboards across BI tools.
• Hands-on with Power BI, Qlik Sense, DBT, and Databricks.

Mansioni

• Design, develop, and maintain data models and visualizations for Qlik Sense, Power BI, DBT, and Databricks.
• Own end-to-end data model design for Power BI and Power Platform solutions.
• Configure and maintain data tiers for Qlik Sense and replicate for Power BI/Power Platform.
• Develop multi-layered data models (Bronze/Silver/Gold) aligned with best practices.
• Create and optimize dashboards, reports, and analytics, manage RBAC, and support CI/CD deployments.

Conoscenze

Power BI

Qlik Sense

DBT

Databricks

SQL

ETL concepts

Data modeling

CI/CD for BI

RBAC

Power Platform

Strumenti

Power BI

Qlik Sense

DBT

Databricks

Delta Lakes

DAX

Power Query

Descrizione del lavoro

Job Description: Data Modeler / BI Developer (Qlik Sense, Power BI, DBT, Databricks)

Role Overview

We are seeking a highly skilled Data Modeler / BI Developer to design, develop, and support end-to-end data models, transformation layers, and visual analytics across Qlik Sense, Power BI, DBT, and Databricks platforms. The candidate will be responsible for building scalable data architectures, implementing transformation pipelines, and enabling analytics solutions aligned with organizational and industry standards.

Key Responsibilities

1. Data Modeling & Visualization Development

• Design, develop, and maintain data models and visualizations for:
  • Qlik Sense
  • Power BI
  • DBT
  • Databricks
• Build high-quality dashboards, reports, and analytical solutions based on stakeholder requirements.

2. Power BI & Power Platform Data Architecture

• Own the end-to-end design of data models for Power BI and Power Platform solutions.
• Execute DBT-based transformations, modeling, and validation activities in compliance with organizational standards.
• Ensure data accuracy, consistency, and optimization across semantic models.

3. Qlik Sense Data Tier Configuration & Support

Configure and maintain data tiers for Qlik applications:

• Financial Tier (Extract Layer)
• Second Data Tier (Transform Layer)
• Third Data Tier (Presentation Layer)

Also replicate the corresponding architecture for Power BI and Power Platform.

4. DBT & Databricks Layered Architecture

Develop and support multi-layered data models using:

• Bronze Layer - Extract Layer
• Silver Layer - Transform Layer
• Gold Layer - Presentation Layer

Ensure alignment with best practices in modular, scalable, and reusable data transformation logic.

5. Visualization, Access, and Deployment

• Develop and optimize visualizations in Power BI.
• Manage role-based access control (RBAC) for dashboards and datasets.
• Support deployment processes including workspace management, versioning, and CI/CD pipelines.

Required Skills & Experience

• Strong experience with Power BI (data modeling, DAX, Power Query, deployment pipelines).
• Hands-on expertise in Qlik Sense scripting, data layers, and app development.
• Practical experience with DBT (models, tests, lineage, macros) and Databricks (PySpark/SQL, workflows, Delta Lakes).
• Solid understanding of data engineering principles, layered architectures, and ELT/ETL concepts.
• Proficiency in SQL and working with relational/cloud data platforms.
• Familiarity with Power Platform components (Power Apps, Power Automate) is an advantage.
• Strong analytical, problem-solving, and documentation skills.

Preferred Qualifications

• Experience in enterprise environments and adherence to data governance standards.
• Background in cloud platforms such as Azure, AWS, or GCP.
• Knowledge of CI/CD for BI and data transformation tools.
• Ability to collaborate with cross-functional teams including business, data engineering, and analytics teams.