Join to apply for the Senior Data Engineer (Real Estate) role at Klika Tech 4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About The Project We are looking for a skilled Data Engineer with strong leadership skills to join a Data Team. Within this project, you will be working on an IoT platform for a real estate company. The idea of this product is to make smart, highly available, and fault-tolerant AWS-based solutions for managing thermostats, smart locks, and other equipment in our clients’ apartments, and to make it easy to use. Our globally distributed teams are working on an event-driven system that will allow direct monitoring and control of devices located in apartments in the United States. On the Klika Tech side, we are responsible for the system’s end-to-end behavior, including front-end, back-end, and mobile applications. Your Role This role will blend strong data engineering capabilities with a proactive and organized approach to communication and cross-functional collaboration. Design and maintain robust ETL/ELT pipelines for high-quality data delivery; Build and optimize scalable batch and stream processing systems from diverse data sources; Own the full data lifecycle from ingestion to transformation and loading into Snowflake, using tools like Airbyte, DBT, and Kafka; Help model transactional data into a unified 3NF schema and store it efficiently in data lakes and Postgres/RDS; Collaborate with analysts, developers, and stakeholders to prepare data for reporting, dashboards, and decision-making; Act as an organizational leader within the data team, owning tasks such as documentation, status updates, change management, and quality control; Support and improve Jira issue tracking, communications, and sprint coordination; Drive continuous improvement in platform processes and knowledge-sharing; Requirements 5+ years in data engineering or similar roles; Strong experience in SQL, Python, and ETL development; Expertise with tools such as Airbyte, DBT, Snowflake, Debezium, Kafka, and Postgres/RDS; Solid background in data modeling and mapping; Experience working with data lakes, data warehouses, and both SQL/NoSQL systems; Proactive mindset with strong ownership skills and the ability to work independently; Excellent communication and collaboration skills; English proficiency at B2 level or above; Nice to Have One year of experience as a leader; Familiarity with Cube.js/Cube.io for data APIs; Experience provisioning cloud environments using Terraform and AWS; A good understanding of Agile methodologies. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr