This is a remote position.
ITTConnect is seeking a BI Engineer to work remotely for a client in the US. This is a potentially long term position with a client that is a global leader in consulting, digital transformation, technology and engineering services with over 300,000 team members in nearly 50 countries. The end client is in the retail space.
Job location: Remote, work from home, anywhere in Brazil.
Only resumes in English will be reviewed.
MUST BE fluent in English. All interviews will be in English only.
Responsibilities:
As a BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization
and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting.
You’ll focus on developing a reliable aggregation layer and reporting structure that meets growing business needs, enabling teams to access and analyze data independently. And contribute as part of 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 the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
Requirements
- 7+ years of IT experience
- University degree in Computer Related Sciences or similar.
- 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
- Knowledge of data visualization tools (e.g., Sigma, Tableau).
- Proficiency in a programming language such as Python or Scala.
- Experience building reporting and dash boarding solutions using data lake/Snowflake or similar ecosystem
- Expert in Database fundamentals, SQL and performance tuning
- Experience in 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.