BI Engineer

Openkyber, LLC; Atlanta (GA); Presencial; USD 90 000 - 130 000; Tempo integral

Resumo da oferta

Openkyber, LLC is seeking a BI Engineer to design, develop, and maintain scalable data models, pipelines, dashboards, and reporting solutions enabling data-driven decisions across the organization.

The role collaborates with business stakeholders, data engineering, analytics, and technology teams to translate requirements into reliable insights and governance standards.

Qualificações

• Bachelor's degree in a relevant field.
• 3–7+ years of BI/ analytics engineering/ data engineering experience.
• Advanced SQL skills; strong relational DB knowledge.
• Experience with Power BI, Tableau, Looker or similar BI platforms.
• Experience with ETL/ELT tools and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Familiarity with Python; cloud platforms like AWS, Azure, or GCP.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.

Responsabilidades

• Design and develop BI solutions, dashboards, reports, and analytical data products.
• Build and maintain dimensional data models, semantic layers, and reporting datasets.
• Develop and optimize SQL queries, ETL/ELT pipelines, and data transformations.
• Integrate data from multiple enterprise systems and ensure consistency across reporting.
• Partner with stakeholders to define KPIs, metrics, and reporting requirements.
• Develop dashboards using Power BI, Tableau, Looker, or similar platforms.
• Establish data quality checks, validation processes, and monitoring.
• Optimize BI solutions for performance, scalability, usability, and maintainability.
• Implement data security, access controls, and governance standards.
• Troubleshoot data discrepancies and perform root-cause analysis.
• Maintain technical documentation, data dictionaries, and metric definitions.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams.

Conhecimentos

Advanced SQL

Data modeling

Analytical thinking

Stakeholder mgmt

Formação académica

BSc in CS/IS/Eng/Data Analytics

Ferramentas

Power BI

Tableau

Looker

ETL/ELT tools

Snowflake

Databricks

BigQuery

Redshift

Python

Descrição da oferta de emprego

Assuming you mean a Business Intelligence (BI) Engineer job description, here s a solid standard version you can adapt. BI Engineer Job Description Role Summary responsible for designing, developing, and maintaining scalable data models, pipelines, dashboards, and reporting solutions that enable data-driven decision-making across the organization. The role partners closely with business stakeholders, data engineering, analytics, and technology teams to translate business requirements into reliable and actionable insights.

Key Responsibilities:

• Design and develop BI solutions, dashboards, reports, and analytical data products.
• Build and maintain dimensional data models, semantic layers, and reporting datasets.
• Develop and optimize SQL queries, ETL/ELT pipelines, and data transformations.
• Integrate data from multiple enterprise systems and ensure consistency across reporting.
• Partner with business stakeholders to define KPIs, metrics, and reporting requirements.
• Develop dashboards using tools such as Power BI, Tableau, Looker, or similar platforms.
• Establish data quality checks, validation processes, and monitoring.
• Optimize BI solutions for performance, scalability, usability, and maintainability.
• Implement appropriate data security, access controls, and governance standards.
• Troubleshoot data discrepancies and perform root-cause analysis.
• Maintain technical documentation, data dictionaries, and metric definitions.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related field.
• 3 7+ years of experience in BI, analytics engineering, data engineering, or related roles.
• Advanced SQL skills and strong understanding of relational databases.
• Experience with Power BI, Tableau, Looker, or comparable BI platforms.
• Experience with ETL/ELT technologies and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Understanding of dimensional modeling, star schemas, data warehousing, and semantic modeling.
• Experience with Python is preferred.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.