
Data Engineering Leader
2 days ago
Job Overview
We're on a mission to revolutionize the F&B industry with our powerful cloud-based POS and restaurant management platform.
As part of our data team, you'll collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery.
Key Responsibilities
- Design scalable data pipelines and infrastructure.
- Assemble and manage large datasets from diverse sources.
- Automate and optimize data processes for greater efficiency and scalability.
- Develop ETL workflows using SQL and cloud-based big data tools.
- Build analytics tools to deliver actionable insights into business performance.
- Collaborate with executives, product managers, architects, and analysts to meet evolving data needs.
- Ensure data systems are secure, reliable, and high-performing.
- Support data scientists and analysts by creating data tools and environments for advanced analytics.
Requirements
- 2–7 years of experience as a Data Engineer.
- A degree in Computer Science, IT, Statistics, or a related quantitative field.
- Advanced knowledge of SQL and relational databases.
- Experience building big data pipelines, architectures, and datasets.
- Strong analytical skills, especially in handling unstructured datasets.
- Working knowledge of cloud-based big data services.
- Familiarity with big data tools like Hadoop, Spark, Kafka.
- Experience with ETL tools like Informatica, DataStage, or Azure Data Factory.
- Knowledge of stream-processing systems.
- Proficiency in programming languages like Python, Java, or Scala.
- Excellent communication skills and the ability to thrive in cross-functional teams.
What You'll Gain
By joining our data team, you'll gain hands-on experience working with cutting-edge technologies and develop your skills in data engineering. Our collaborative environment encourages open communication, innovation, and growth opportunities.
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