Business Intelligence (BI) Engineer

We are seeking a highly skilled Business Intelligence (BI) Engineer with strong experience in Tableau , AWS cloud technologies , and data warehousing to design, develop, and maintain scalable analytics and reporting solutions. The ideal candidate will possess expertise in transforming complex datasets into actionable business insights, building interactive dashboards, and enabling data-driven decision-making across the organization.

Key Responsibilities

Design, develop, and maintain enterprise BI solutions using Tableau.

Create interactive dashboards, scorecards, and reports to support business stakeholders.

Develop and optimize data models, ETL/ELT processes, and reporting architectures.

Build and maintain data pipelines using AWS services.

Integrate data from multiple sources including databases, cloud platforms, APIs, and enterprise applications.

Collaborate with business users to gather requirements and translate them into analytical solutions.

Perform data validation and ensure data accuracy, integrity, and governance.

Monitor and optimize Tableau dashboard performance and underlying queries.

Support data warehouse design and implementation activities.

Document data flows, business rules, and reporting requirements.

Partner with cross-functional teams to identify opportunities for automation and analytics enhancements.

Required Qualifications 5+ years of experience in Business Intelligence, Data Analytics, or Data Engineering.

Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud.

Advanced SQL development and query optimization skills.

Experience developing BI solutions in AWS environments.

Strong understanding of data warehousing concepts, dimensional modeling, and ETL processes.

Experience working with large-scale datasets and complex reporting environments.

Required Technical Skills

Tableau Tableau Desktop

Tableau Server / Tableau Cloud

Dashboard Development

Data Visualization Best Practices

LOD Expressions

Calculated Fields

Parameters & Actions

Performance Optimization

AWS Amazon Redshift

AWS Glue

Amazon S3

Amazon Athena

AWS Lambda

Amazon RDS

IAM and Security Controls

CloudWatch

Data & Analytics Advanced SQL

Data Modeling (Star/Snowflake Schema)

Data Warehousing

ETL/ELT Development

Data Quality Management

Business Reporting & Analytics

Preferred Skills Python or PySpark development experience.

Experience with Power BI, QuickSight, or other visualization tools.

Knowledge of AWS Lakehouse/Data Lake architectures.

Experience with CI/CD and DevOps practices.

Familiarity with Agile/Scrum methodologies.

Tableau certification and/or AWS certification preferred.

Key Competencies Strong analytical and problem-solving skills.

Excellent communication and stakeholder management abilities.

Ability to translate business requirements into technical solutions.

Strong attention to detail and commitment to data quality.

Ability to work independently in a fast-paced environment.