MA?LYS is one of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide. MA?LYS is on track to become one of the biggest body care brands in the world. The company has built a strong tech backbone to leverage its data, collected over the span of dozens of million of $ in online advertising spend. The data analysis and predictive modeling guide the company’s decision making and play a central role in its success, creating a unique competitive edge over the industry and other e-commerce players. We are a team of people who want to make lasting, impactful changes, who live (and love) to see results, who innovate with passion, and who love a good sense of humor. Is our vibe your vibe? We are seeking a highly skilled Data Engineer to join its exceptional Data Team. You will play a crucial role in building the data foundations, which play an essential part in the company's growth engine.
Your life at MA?LYS will look like…
* Developing and maintaining scalable data pipelines and analytics infrastructure
* Build the infrastructure and processes required for optimal extraction, transformation and loading of data from a wide variety of data sources, using Python, Airflow, Rivery and BigQuery.
* Full responsibility for company & data department monitoring, logging and anomalies, support the Data scientists and data analyst’s requirements and needs
* Collaborate with varied teams and departments in order to deliver useful & insightful data products
You will thrive in this role if you have…
* 4+ years of relevant experience as a Data Engineer
* Strong knowledge of SQL.
* Strong knowledge of Python.
* Experience in managing and maintaining cloud resources
* Experience with BI tools (Tableau/Power BI/Looker/Sisense or similar)
* Experience with Data Warehouses
* Experience building ETLs
* Understanding business processes and collecting user requirements Advantages:
* Experience with Airflow
* Experience with GCP and streaming components
* Experience with Power BI

Required Experienced Software Engineer, Demand
What are some of the things you do on a day-to-day basis?
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of requests per second
Work on innovative projects that are the next growth engines for us
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for processing and managing user data signals
Develop a complete user identities graph and find deterministic and probabilistic methods to enrich it
An algorithmic model to predict the performance potential of a specific audience
Infrastructure to create unique audiences for advertisers based on various signals (behavioral, contextual, etc)
An A/B tests system to explore variations and experiments over audiences
Understand and use big data algorithms to estimate key business metrics over billions of impressions
Build user interface using React that serve thousands of users
And many more
Our Tech Stack:
Java, JS, TS, Python, React, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, BigQuery, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

We are looking to hire a talented and experienced Backend Software Engineer for our Data Detection & Response product to join us and be a part of the companys early stage core team.

The Detection team is composed of talented Backend Engineers and is responsible for building our real-time threat detection product, analyzing events at hyper-high scale and looking for malicious activity that can harm users. You will be working with other R&D teams, researchers, product managers, and designers.

RESPONSIBILITIES
Designing and implementing core components within the detection architecture, including microservices, ETLs, and core libraries
Planning and implementing the rollout, testing and monitoring of features deployed to production end to end
Conducting design and code reviews with the other team members
Analytical approach for scale, optimizations and data-driven decisions
Drive and passion for pushing cross R&D-product workflows and initiatives

We are looking for a Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people.
You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve.
You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of our Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

We are seeking an experienced, data-driven individual with a strong background in data analysis and BI development to join our growing team.
Our team is at the forefront of data analysis and BI solutions on mobile devices, driving content recommendations to over 400M active devices worldwide. As part of your role, you will leverage complex business analysis, and extract insights that will significantly impact our business success and drive strategic decisions.
You will lead end-to-end BI projects, work on requirements, craft solutions, develop complex ETLs, and visualize actionable insights.You will collaborate directly with cross-functional teams, as well as internal and external stakeholders, to understand business needs and provide reliable and innovative data analysis and BI solutions.
Transform billions of daily events into critical information, business insights, and graphical dashboards that will drive meaningful impact for our business.If you excel in analytical thinking, BI technical skills and possess a strong passion for data analysis and BI development, this role would be just perfect (!) for you.
What you'll be doing:
Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Data Science, R&D, Sales and other teams
Develop complex SQL queries and work with a variety of relational and non-relational databases, including Redshift, MySQL, SingleStore, and others
Architect and implement BI ETL pipelines, reports, and dashboards to illuminate product and business performance, using various tools including Airflow, Python, Jenkins, among others
Design and deploy visually compelling data visualizations using platforms like Looker, Tableau and others
Engage in the data aspects of product and feature development and assessment, establish product reporting frameworks, and analyze outcomes of A/B testing.

We are looking for a Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people. You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve. You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of ourr Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

One of the top security challenges customers have is to understand ahead of time potential attack paths that can happen in their systems, the actual risk vulnerable assets and entities impose and identify points of failure.
We come to solve all of that and surface this knowledge through a wide set of security products. Our strategic platform is based on a knowledge graph built to represent the digital assets and their connections which is the base for deriving smart knowledge, insights and calculation of attack paths, blast radius, chock points and more.
The platform is in use in different security products and plans to expand and grow to new horizons. The challenges span over handling large volumes of data, complex calculations of derived insights, new capabilities and modeling the ever-growing digital world into a coherent knowledge graph.
Were a diverse group of talented professionals consisting of software engineers, security researchers, program managers and data scientists collaborating to develop a security platform that secure our customers, including the biggest companies in the world.
As a Principal software engineer, reporting to group manager, you will lead and shape the next generation of the platform, select the best fit technologies, find solutions to complex problems, and build the system together with the team.

In addition, you will be working with our partners that are on-boarding to platform for ingesting and consuming data and pave the way for their success with us. You will also take significant part in shaping the vision of platform going forward

We are looking for a highly motivated, experienced Software Team Lead with strong backend roots to join our R&D team. You will lead and mentor a team of talented backend-oriented full stack engineers, and design and build a resilient system that manages our customers' funds, enabling top-notch consumer-facing applications for hundreds of thousands of users.

You will also work closely with the product and BI teams to constantly improve our service based on a data-driven approach along with direct feedback from our customers. The team is responsible for the core company features - building and maintaining highly available financial services, while taking into account high data integrity and security standards.

What you will get:

Scale and Challenge - Work on a highly available, complex and cloud-native application that is used by millions of customers globally, handling millions of transactions every month.
Getting into the Fintech industry - You will get the opportunity to gain deep knowledge in the Fintech industry including payments, banking systems, fraud, and much more.
Sharpen your management skills - Working with our strong leaders you will have the opportunity to sharpen your skills, such as developing, debugging, monitoring, planning, agile and cross-team collaboration.
Leading a team of A-players - The team you are going to lead consists of strong engineers, hence you will be able to leverage and improve your technical skills as well.
And most important: purpose - Get rewarded by developing a product for real people who brings them one step forward to financial inclusion.
Responsibilities:

Lead a team of skilled software engineers building complex flows and business logic in highly available financial services, while taking into account high data integrity and security standards.
Take responsibility over a widely used product, running initiatives from planning, execution, and monitoring in production, and continuously improve the process, in order to create value for our customers.
Take a hands-on approach, contributing to the code and the product.
Define and track the KPIs of the team.
Work closely with different stakeholders, such as product managers, BI, tech support, finance team, and operations.
Work closely with the product team in order to consistently improve our service based on a data-driven approach as well as direct feedback from our customers.
Drive and maintain high engineering standards, for execution, code quality, and customer satisfaction.
job id:R_100745

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.