Data Engineer

Job Description

Job Overview and Description

We are seeking a skilled and detail-oriented Data Engineer to join our team at Cruise Planners. This role is responsible for collecting, processing, and analyzing large datasets to generate actionable business insights. The ideal candidate will work closely with cross-functional teams including Business Intelligence, Development, and AI teams to support data-driven decision-making and enhance existing systems, including chatbot and reporting platforms.

The candidate should have strong experience in MySQL, Power BI, Python, and AWS services, along with a solid understanding of data engineering concepts such as ETL processes, data warehousing, and machine learning fundamentals. This position also offers the opportunity to contribute to AI initiatives, including expanding chatbot capabilities.

Roles and Responsibilities

Collect, clean, and preprocess data from multiple sources including databases and external systems

Write, optimize, and maintain SQL queries for data extraction and transformation using MySQL

Develop interactive dashboards and reports using Power BI to present insights effectively

Work with AWS services such as Redshift and EC2 for data storage and processing

Ensure data quality, accuracy, and integrity through regular audits and monitoring

Collaborate with Business Intelligence teams to provide data for analysis and reporting

Support and enhance AI-driven initiatives, including chatbot data capabilities

Design and maintain ETL pipelines for efficient data flow and processing

Implement and maintain data security practices to protect sensitive information

Coordinate with cross-functional teams to meet project milestones and deadlines

Stay updated with emerging technologies and best practices in data engineering and analytics

Required Qualifications and Certification

Bachelor’s degree in computer science, Information Technology, Data Science, or a related field

2–5 years of experience as a Data Engineer or in a similar role

Strong proficiency in MySQL and SQL for data querying and manipulation

Hands-on experience with Power BI for data visualization and reporting

Experience with Python for data processing and scripting

Working knowledge of AWS services, specifically Redshift and EC2

Solid understanding of ETL processes and data warehousing concepts

Basic knowledge of machine learning and AI concepts

Strong analytical, problem-solving, and communication skills

Ability to work effectively in a collaborative team environment