Data Engineer
Core
Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, ensuring data quality and integrity.
Role type
Data Engineer
Builds
Data pipelines, data warehouses, data marts, and business layers
Domain
Proptech / Data Engineering
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python, Data Modeling, Cloud Platforms (AWS/Azure/GCP), Data Warehousing, Data Pipeline Development
Preferred skills
Kafka, Flink, Spark Streaming
Technologies
Kafka, Flink, Spark Streaming, AWS, Azure, Google Cloud Platform
Responsibilities
Design and build data marts and business layers to facilitate efficient data access and analysis; Optimize data pipelines for performance, scalability, and reliability; Implement data validation and quality checks to identify and rectify issues; Collaborate with data scientists and analysts to understand data requirements and design solutions; Work with IT teams to deploy and maintain data storage and processing systems.
Seniority
Junior to Mid-level, hands-on IC
