Big Data Engineer
Technology domains: Python, Scala, Kafka stack, Spark, HDFS, SQL, Docker, Kubernetes, GCP, Azure
Location: Paris, France
Square Sense is a fast-growing platform that provides advanced data solutions to global real estate developers, investors and managers. The company builds AI-powered “brains” that improve the operational and financial performance of real estate assets by providing real-time pattern detection and autonomous optimization. They also greatly enhance the overall experience for the tenants.
Square Sense was founded in 2017 in Paris by a multi-cultural team of talented engineers and data scientists.
Software Engineering at Square Sense
In Square Sense's Software Engineering Team we are building a multitude of products in the domains of data collection, analysis, visualization and IoT manipulation. Our systems collect data from IoT devices and third-party data sources, process ingested data in streaming and batch modes, organize processed data, provide the APIs to access it (thus creating a data analytics platform), or use third-party APIs to manipulate the physical world (thus making an automated decision making solution).
Our main programming languages are Scala and Python. Our solution is built with modern technologies such as (list is not exhaustive): Docker and Kubernetes, Kafka stack (Kafka, Kafka Connect, KSQL), Spark, Airflow. Our production platforms run in the public clouds (Azure, GCP, AWS) and employ related services such as GKE, Dataproc (GCP) and AKS, HDInsight (Azure) to name a few, and we deploy the software in a Continuous Delivery process. We focus on high quality of our software and all team members take seriously such practices as automated testing and PR reviews for instance.
All team members are responsible for the overall design and architecture, development, quality, production delivery, and monitoring.
As a Big Data Engineer you will be a member of the Software Engineering Team. This position implies close collaboration with all members of the Software Engineering Team, as well as members of our Data Science Team, who design and implement various data processing algorithms.
Primary objectives of a Big Data Engineer are:
- Develop various components for data collection (connectors for various IoT devices and third-party services, web hooks) and ingestion of collected data (using Kafka, for example).
- Develop data processing applications (for example, streaming and batch data pipelines with Apache Kafka Streams and Apache Spark).
- Automate data processing tasks and their monitoring in production (for example, orchestration of batch processing jobs using Airflow).
- Design efficient data models using various storage technologies (cloud file storages, HDFS, relational DBs and non-relational DBs.
We are looking for a software engineer with 2+ years of industry experience in back-end software development and data engineering. Candidates for this position are expected to have:
- Industry experience and strong programming skills with at least two of the following programming languages: Scala, Python, Java. We expect a candidate to be fully autonomous in the coding process.
- Industry experience in data engineering and the technologies in the domain.
- Good knowledge of SQL and relational databases.
- A taste for high quality software (clean code, high test coverage, willingness to do thorough PR reviews).
Knowledge in all of the following areas is a plus:
- Kafka, Kafka Connect, Kafka Streams, KSQL
- NoSQL databases
- Amazon Web Services / Google Cloud Platform / Microsoft Azure
- Agile methodology and Scrum in particular
Being passionate about IT ourselves, we are looking for a likewise passionate person with a good team spirit.
What we offer
- An experienced data engineering team with a very strong high-quality development mentality yet focused on fast and agile execution to achieve business impact
- A data-centric product, where data engineers make an important contribution to making it all happen
- A team leader with more than 10 years of professional experience in software engineering
- A competitive salary and eligibility for participation in the stock option plan.
- Performance-based bonuses
- Fast-growing early-stage startup: team size is expected to double in the next 12 months
- A multi-cultural team that is passionate about technology, regular team outings
- Open communication, flat hierarchy, and fast execution
- Flexible working hours, allowance for partial telecommuting
- A budget for personal education, participation to conferences, and training
- A comfortable office in the center of Paris (Strasbourg – Saint-Denis metro station)
To apply for this position, please send us your CV and cover letter to email@example.com with the subject line "Big Data Engineer".