DandyRemote

Data Engineer

Description

Retail • eCommerce • B2B

Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.

Data Engineer

🔥 9 hours ago

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Retail • eCommerce • B2B

📋 Description

• Design, build, and maintain data pipelines using Airflow, and Trino to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations). • Improve data quality and reliability

  • implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency. • Develop and maintain the platform
  • deploy, monitor and maintain services in our aws cloud • Collaborate with cross-functional teams
  • work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively. • Optimize performance and cost
  • fine-tune queries, pipelines, and storage for speed and efficiency. • Document data assets
  • maintain clear documentation for data sources, pipelines, and models.

🎯 Requirements

• 3+ years of experience in data engineering or a related field. • Strong proficiency in SQL and Python. • Hands-on experience with: • OLAP databases, distributed query engines and data processing frameworks (clickhouse, trino, spark etc) for analytical workloads • Solid understanding of data modeling and data engineering best practices • Familiarity with event-based data architectures and streaming (spark, flink)

🏖️ Benefits

• 100% remote

  • We’re a remote-first company, no offices needed! • Flexible working hours
  • Core team time: 09:00-15:00 GMT (flexible per team) • Equipment reimbursement (laptops, monitors, etc.)

Skills

AirflowApache SparkSparkSQLFlinkIAMPythonIamData EngineeringFirebaseAWS