Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. 

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Reports To: 

Director of Data Engineering

Summary

We are in search of a talented and passionate Data Engineer to enhance our data engineering capabilities at Property Finder in Dubai. In this role, you will driving the development and maintenance of sophisticated data solutions, building data pipelines in batch and real time. Beyond that, you will contribute in building and maintaining the infrastructure necessary for data engineering processes.

Collaborating with cross-functional teams, you will contribute to building self-service data layers and provide crucial insights to align data architecture with broader business strategies. Your contribution towards innovative solutions and ensuring the highest standards of data quality.

Key Responsibilities:

• Design and implement real time data pipelines in Cloud.
• Design and implement complex ETL solutions for large datasets.
• Optimise and fine-tune SQL and/or Python code for performance.
• Design and maintain data models for efficient storage and retrieval.
• Troubleshoot and resolve issues related to data pipeline performance.
• Build and maintain self-service datasets to accelerate data democratization efforts.
• Contribute to the initiatives for managing and optimizing infrastructure.
• Implement best practices for version control and collaboration in Terraform.

Our Tech Stack:

Languages: Java/Scala, SQL & Python

Message Queues: Kafka, Kinesis Data Streams

Data stores: Snowflake, Redshift, Clickhouse, S3

Pipeline orchestration tool: Dagster (Legacy: Airflow)

Platforms & Services: Docker, Kubernetes

PaaS: AWS (ECS/EKS, DMS, Kinesis, Glue, Athena, S3 and others.)

ETL: FiveTran & DBT for transformation

IaC: Terraform (with Terragrunt)

Essential Experience:

• 7+ years of experience as a Data Engineer
• Experience with pub-sub, queuing, and streaming frameworks such as AWS Kinesis, Kafka, SQS, SNS.
• Experience in real time processing engines like Apache Flink, Apache Spark etc.
• Proficiency in programming languages like Java/Scala  and Python
• Experience with ETL/ELT, batch, streaming data processing pipelines.

Other Desired Experience:

• Experience with Dubai Land Department or experience within Real Estate is desirable 
• Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift.
• Experience with AWS services (like S3, DMS, Glue, Athena, EKS, etc.)
• Proven experience with data warehousing and dimensional data modelling guidelines and best practices
• Familiar with ETL tools like FiveTran, DBT, Airbyte, etc
• Experience with orchestration tools like Dagster, Airflow, AWS Step functions, etc.
• Knowledge of CI/CD pipelines and automation.
• Experience with Terraform and Terragrunt.
• Experience with data stores like MySQL, MongoDB, DynamoDB, Aurora.
• Familiar with BI tools like Tableau, QuickSight, Tableau, PowerBI, MicroStrategy, etc
• Familiar with Tagging and tracking tools like Snowplow, Tealium,Segment.io etc
• Experience with Realtime analytics solutions like Clickhouse, Rockset, Pinot, or Druid.
• Experience with GCP and Google Analytics.