לוח משרות דרושים איש ביג דאטה Big Data

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

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 Similarweb, 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 Similarweb?

Similarweb is 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.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions 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 continue reaching new heights! Come work alongside Similarwebbers who are bright, curious, practical, and good people.

Were looking for a DATA -BACKEND (DATA EXTRACTION) to take an important part in SimilarWebs data extraction team and play a key role in our growing data acquisition operation.

This role will report to the Team manager- R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business. As a data server engineer, you will work in one of the companys core teams and design and implement complex, high-scale systems that retrieve and analyze data from around the internet.

You will be responsible for:

Scraping - Building and maintaining high scale web-scraping operations.
Processing - Creating complex data pipelines that process and enrich our raw data and serve it to different consumers through various databases and data-lakes.
Engineering - Designing and building large scale, high quality systems to support our data infrastructure and production systems
As a Data-Server Engineer in Data Extraction, you will:

Write complex PySpark applications that process, manipulate and validate large datasets, in high quality and under strict SLA.
Develop dockerized high-performance microservices.
Take a major part in designing and implementing complex high scale systems using a large variety of technologies.
Work in a team with talented and independent engineers with whom youll be able to share knowledge and expertise.
learn new technologies, handle a multitude of systems.
Implement solutions in AWS cloud environment.
Take part in monitoring and debugging data pipelines and high scale services in order to identify and fix bottlenecks and failures.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of a ML & Big Data Analyst at Similarweb look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of Similarwebs data and algorithms.
Utilize your deep understanding of Similarwebs data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

required Data Engineer
Job Description
Be responsible for designing, implementing and maintaining data pipelines from different sources into the organizational data warehouse (DWH)

Design and implement robust, scalable solutions making it easier to identify gaps and the design processes needed to solve them

Work with analysts and product managers to understand business priorities and translate requirements into data models

Collaborate with various stakeholders across the company like data engineers, analysts, data scientists, finance experts, etc.,

Collaborate with a broad forum of stakeholders, including architects and engineers, to create high quality deliverables

required Data Infra Engineer
Job Description
Manage Spark as a Service solution for Data Engineers and Data Scientists

Provide an in-house infrastructure for data engineers to write their own Python serverless functions and data ingestion pipelines

Maintain and develop Wix's data execution and orchestration platform using Apache Airflow

Give best practices and guidance to the entire Data Guild at Wix

We are looking for a highly motivated and passionate Advanced Analytics & AI Specialist to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics technical customer engagements including envisioning, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.
Key responsibilities include:

Understand customers overall data & analytics estate, business use-cases, priorities and success measures to design implementation architectures and solutions.
Apply technical knowledge to architect solutions that meet business and analytics needs, create Data Platform, Data Migration Strategy, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
Develop deep relationships with key customer IT decision makers and relevant business decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates
Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers
Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.
Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform
Be an Azure Platform evangelist with customers, partners and external communities.