Business Intelligence Engineer (Bi - Tableau / Sigma) - Remote

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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