דרושים » תוכנה » Senior Data Engineer

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for a talented and experienced Backend Engineer. You will play a vital role in building and enhancing our critical data acquisition and serving processes across a wide range of our company products.
Responsibilities
Own all data acquisition and collection services - the core of our products.
Employing innovative techniques and out of the box thinking for cracking non trivial technological challenges.
Design, develop, test, and maintain robust backend systems and services.
Ensure the security, reliability, and scalability of data acquisition and serving systems.
Collaborate with product teams to influence data-driven feature development and improvements.

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

We are looking for a Senior Data Engineer.
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management.
Develop Data pipelines to provide ingest and transformation of data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

We're looking for a Senior Big Data Developer to join our Data Engineering team in Tel Aviv.

You will be a part of our Data Management platform, that is responsible for processing, storing, and serving data for all our core systems.

As a Senior Big Data Developer, we will encourage you to take a proactive & autonomous approach in research & development while working collaboratively with the team. Our ideal candidate is a fast but thorough problem solver, and a fun person to work with!

What Youll Do:

End-to-end feature development and ownership, from design to production, with a strong emphasis on innovation and efficiency.
Take part in building & designing the next generation of company Identity solutions.
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
Research core technologies and integrations with external APIs and services.
Working with various stakeholders: Product, Engineering, Data providers etc.
Lead and mentor other developers through complex projects that will affect our core business.

we are looking for a Performance Solution Architect to work with our globally distributed engineering team on internet-scale data lake analytics platform. This is our flagship product and offers incredible value-add on the already stellar performance of the open-source Trino software. This role provides you with the opportunity to directly contribute to the enhancement of performance. The role entails conducting performance analysis and comparing existing in-market solutions, formulating a comprehensive strategy for performance testing, analyzing the results, and offering appropriate recommendations for enhancing.

As a Data Performance Engineer
Be an expert in architecture and performance approaches
Partner closely with sales engineers, solutions, support, and engineering teams to deliver guidance on performance issues at any phase in the product life cycle.
Maintain a profound understanding of current market solutions and devise instrumentation and approaches for comparing them with the solution, paving the way for future enhancements to .
Collaborate with Product Management and Solution architects to continuously improve performance and eco-system roadmaps.

Our Research team is growing, and we are looking for a Senior Data Engineer to join the team.
Not Your Typical Senior Data Engineer Role
You're a crucial pivot in our R&D unit, ensuring our data flows seamlessly, is stored efficiently, and can be accessed and interpreted for justice at scale. You will be responsible for designing our data architecture, implementing and maintaining data pipelines from various sources, and building our databases.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
You will devise scalable solutions to enhance the capabilities of our legal data team to analyze factual information and extract legal implications from it.
Design data analytics modeling solutions with the data science and ML engineers
Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts to understand business priorities and translate these requirements into data models.
Work with DevOps and engineers to design and implement our infrastructure.

You will work in a team of data and software engineers building our Authentic Attention products.

You will process 10s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions like Google Composer and many more.

You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand and optimize their ROI. This is a true big data product at a huge scale and high impact for our clients and the digital advertising industry as a whole.

You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring and availability.