Business Intelligence Engineer (BI - Tableau/Sigma) - REMOTE

ITTConnect; Brasil; On-site; BRL 327,153 - 490,730; Full time

Job summary

A global consulting firm is seeking an experienced Business Intelligence Engineer to work remotely from anywhere in Brazil. The role involves building data models, creating reporting structures, and working with advanced data processing technologies. A strong foundation in SQL and previous experience in business intelligence is essential for this position. Join a dynamic team and make an impact through data-driven solutions.

Qualifications

• 7+ years of IT experience.
• 3+ years experience in business intelligence or data analytics.
• Experience with data quality frameworks and orchestration tools.

Responsibilities

• Build and scale data models and pipelines.
• Develop reliable aggregation layer and reporting structure.
• Contribute to a self-organized team of data engineers.

Skills

Strong SQL skills

Data modeling techniques

Experience with data visualization tools

Proficiency in Python or Scala

Excellent communication skills

Education

University degree in Computer Related Sciences

Tools

Tableau

SQL

Snowflake

DataBricks

Job description

Overview

ITTConnect is seeking Business Intelligence (BI) Engineers who are experienced in Tableau/Sigma and SQL to fill a position with a US-based client that is a global leader in consulting, digital transformation, technology and consulting services present in nearly 50 countries.

As BI Engineer, you will work as part of a team in a challenging, innovative environment. Investigate, create, and implement solutions for technical challenges using cutting edge technologies, including building/enhancing their Data processing platform.

Job location

Remote, work from home anywhere in Brazil.

Must speak English. All interviews will be done in English, as well as the work after that.

Responsibilities

• Build and scale data models, pipelines, and self-service analytics across the organization and highly loaded database solutions for various business cases including reporting, product analytics, marketing optimization and financial reporting.
• Develop a reliable aggregation layer and reporting structure that meets growing business needs, enabling teams to access and analyze data independently.
• Contribute as part of a self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
• Investigate, create, and implement solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team to achieve project goals.

Requirements

• 7+ years of IT experience
• University degree in Computer Related Sciences or similar.
• 3+ years experience in business intelligence, data analytics, data engineering or a similar role
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3NF, data vault)
• Knowledge of data visualization tools (e.g., Sigma, Tableau)
• Proficiency in Python or Scala
• Experience building reporting and dashboard solutions using data lake/Snowflake or similar ecosystem
• Expert in Database fundamentals, SQL and performance tuning
• Experience maintaining data integrity and reliability by leveraging data quality frameworks and orchestration tools for seamless pipeline execution
• Excellent communication skills and experience working with technical and non-technical teams. Comfortable working in fast-paced environment, self-starter and self-organizing
• Ability to think strategically, analyze and interpret market and consumer information

Nice to have

• Experience with real-time data processing and streaming technologies
• Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift)
• Familiarity with machine learning concepts and their data requirements.

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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