Dsquares is more than just a loyalty program provider; our expertise lies in crafting loyalty solutions to give an unforgettable experiences that keep customers coming back for more. From concept to execution, we handle the entire loyalty journey, turning brands into beloved obsessions.
With our tech-savvy team and a passion for innovation, we're not just building programs; we empower businesses to build lasting relationships with their customers.
Our team is the heart of Dsquares. We believe that exceptional people create exceptional solutions. Our culture is built on openness, empowerment, and a shared passion for delivering extraordinary customer experiences. Join us and be part of a team that's redefining loyalty programs.
More than rewards, we create experiences. And more than customers, we build advocates.
About The Role:
We are seeking a highly skilled and experienced Principle Data Engineer to design, develop, and optimize our data infrastructure. This role is critical to ensuring that our data pipelines and systems are robust, efficient, and scalable. The ideal candidate will have a strong background in data engineering, a keen eye for detail, and a passion for turning raw data into actionable insights.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
- Develop and optimize data models and database architectures to support analytics and reporting needs.
- Implement and maintain data security and compliance standards.
- Monitor and troubleshoot data pipelines to ensure high availability and performance.
- Evaluate and integrate new tools and technologies to enhance data engineering processes.
- Document data workflows, processes, and best practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 4+ years of experience in data engineering, with expertise in building data pipelines and ETL processes.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Expertise in SQL and database systems (e.g., SQL Server, MySQL, PostgreSQL, or NoSQL databases).
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and attention to detail.
Benefits
- Comprehensive Wellbeing: Enjoy peace of mind with our private medical insurance and life cover, plus extra days off for every year you're part of the team.
- Financial Growth: Reap the rewards of your hard work with our annual profit share and competitive compensation packages.
- Work-Life Balance: Achieve optimal well-being with our hybrid work environment, generous maternity and paternity benefits, and regular team-building events.
- Continuous Development: Expand your horizons through our commitment to learning and development opportunities.
- Perks and Privileges: Celebrate your journey with us through birthday offs, mobile allowances, transportation support, and a host of other employee-centric perks.
