Senior Data and Analytics Engineer

Bamboo Card is a leading e-gift card distribution agency, with an API and a commitment to
delivering seamless and innovative solutions to our clients. Join our growing team and be part
of a company that values excellence, collaboration, and continuous improvement.

About the Role:
We are looking for a hands-on Data / Analytics Engineer to design, build, and scale our data platform. This role will be responsible for building our data warehouse, developing ETL pipelines, creating Power BI dashboards, and leveraging AI-driven analytics to unlock business
insights and forecasting capabilities.

You will work closely with business, product, finance, and engineering teams to turn raw data
into actionable intelligence

Job requirements

• Bachelor’s degree in computer science, Data Engineering,       Information Systems, or a related technical field.
• Minimum of 6 years of hands-on experience in data engineering, ETL/ELT development, and data platform implementation.
• Strong experience with Power BI
• Strong SQL skills
• Experience building ETL pipelines
• Experience with AWS Redshift (or similar data warehouse:Snowflake, BigQuery)
• Knowledge of data modeling best practices
• Understanding of REST APIs and data integrations
• Experience using AI/ML tools for forecasting or analytics
• Familiarity with predictive modeling techniques
• Knowledge of statistical analysis

Nice to Have:
• Experience with AWS ecosystem (Aurora, RDS, Glue)
• Experience with Airflow or orchestration tools
• Knowledge of dbt
• Experience with financial or transactional datasets

You should also have:
• Strong analytical thinking
• Business-oriented mindset
• Ability to translate data into strategic recommendations
• Independent, proactive, and ownership-driven
• Strong communication skills

Job responsibilities

Business Intelligence & Reporting:
• Design and build interactive Power BI dashboards and reports
• Translate business requirements into data models and visual insights
• Maintain and optimize semantic models and data performance
• Ensure data accuracy, consistency, and usability

Data Engineering & ETL:
• Design, develop, and maintain scalable ETL/ELT pipelines
• Integrate data from multiple sources (APIs, databases, third-party systems)
• Implement data transformation and validation processes
• Automate data workflows and monitoring

Data Warehouse Architecture:
• Design and implement a modern data warehouse (AWS Redshift preferred)
• Define data models (star schema, dimensional modeling)
• Optimize performance and cost efficiency
• Ensure security and access control best practices

AI & Advanced Analytics
Utilize AI/ML tools for:
• Demand forecasting
• Trend analysis
• Anomaly detection
• Build predictive models to support business decisions
• Explore automation opportunities using AI-driven insights

Business Data Analysis
• Analyze operational and financial data to identify growth opportunities
• Provide insights on revenue, cost optimization, and performance trends
• Work proactively to uncover hidden patterns and strategic improvements

Job benefits

• Opportunity to shape the future of digital gifting in a rapidly evolving global market.
• Collaborative and innovation-driven culture.
• Competitive compensation package.
• Dynamic, multicultural work environment