דרושים » מערכות מידע » Big Data analyst

at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
we're seeking exceptional individuals to join us to our r&d team. at the company, you'll innovate fast, collaborate with brilliant minds, solve big problems, work with cutting-edge technologies and data at incredible scales, and make a tangible impact on the world's most innovative companies.
were looking for a Big Data engineer to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data. this role will report to our team manager, r&d.
why is this role so important at the company?
we are a data -focused company, and data is the heart of our business.
as a Big Data engineer Developer, you will work at the very core of the company, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.
your role as a Big Data engineer will give you the opportunity to use the most cutting-edge technologies and best practices to solve complex technical problems while demonstrating technical leadership.
so, what will you be doing all day?
your role as part of the r&d team means your daily responsibilities may include:
design and implement complex high scale systems using a large variety of technologies.
you will work in a data research team alongside other data engineers, data scientists and data analysts. together you will tackle complex data challenges and bring new solutions and algorithms to production.
contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies and eliminating bottlenecks.
you will experiment with various technologies in the domain of Machine Learning and Big Data processing.
you will work on a monitoring infrastructure for our data pipelines to ensure smooth and reliable data ingestion and calculation.
as part of our r&d team at the company, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry.
at the company, collaborating with our colleagues in-office creates a more connected, unified culture. our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

As a BI Developer, you will take end-to-end ownership of the companys BI platform, serving as the main focal point for dashboard creation, BI tool usage, and data-driven decision-making across the organization.

The role includes leading BI-driven product direction, shaping the data warehouse that supports key dashboards, and designing, implementing, and maintaining core BI dashboards. You will also define how teams across the company work with the BI tool, including permissions, connections, datasets, and related platform governance.

As a Senior Software Engineer your role will be to:

Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.