לוח משרות דרושים איש ביג דאטה Big Data ברמת גן

Were looking for a Data Project Manager to oversee the planning, execution, and delivery of data-related projects.
Youll manage projects that impact our company and customers, collaborate with stakeholders, and drive measurable business improvements.
If you're passionate about leveraging data for positive outcomes and thrive in a collaborative environment, we welcome you to apply!
Responsibilities:
Partner with members of our Product, Engineering, BI, Analysts, Product Marketing, Customer Experience, Finance, and Marketing teams to drive successful product results
Lead the data roadmap to support our products
Own the prioritization and execution of data deliverables
Lead cross-organizational data projects, setting milestones and tracking progress
Coordinate data engineering and business intelligence projects for timely delivery
Determine project needs for quarterly planning, and set priorities based on stakeholder input
Oversee sprints, manage tasks, and foster team communication
Troubleshoot data and product issues

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

We are looking for a Senior Data Engineer specializing in data stream processing, to help us grow and scale our data analysis platform. We have been growing rapidly over the last year, and were looking for someone to help us create the next generation of our platform that will allow us to handle a growing customer base and workload. You will have a key part in designing and implementing core elements of our data pipeline.



What you will be dealing with:

Build real-time data processing pipelines to discover medical devices, risks, and anomalies
Optimize and scale our data pipelines to help us handle a growing customer base
Design our data models for optimal storage and processing
Architect, design, and implement scalable and robust data solutions
Evaluate and recommend appropriate tools and technologies to support data infrastructure
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
End-to-end ownership of features, from inception to deployment

We are seeking a highly skilled and experienced Data Engineer to join our Data Platform team. The ideal candidate will have significant experience in building data pipelines, data layers, and data platforms. This role will involve end-to-end development, from helping formulate requirements to full production implementation.
Building production-grade data pipelines and services
Design and Build data-lake/lakehouse
Taking ownership of major projects from inception to deployment
Architecting simple yet flexible solutions, and then scaling them as we gro

We are looking for a Senior Data Engineer.
In your role as a Senior Data Engineer, you will manage large volumes of data and contribute to critical projects such as the single source of truth, Data Catalog, and Data Platform. Join our team at Viber and help us enhance our data-driven solutions.
Responsibilities:
Lead the designing, building, and maintaining of the organizations data architecture
Contribute to initiatives such as the implementation of a single source of truth, Data Catalog, and Data Platform
Manage large volumes of data, including real-time streaming of petabytes of data from hundreds of millions of users
Collaborate with different teams to ensure the efficiency and accuracy of data solutions
Oversee the overall management of the data platform.

The Senior Data Analyst position is a vital role within our Data Ingestion R&D department, primarily focused on ongoing research and model building for the company's data ingestion part of the product.

This dynamic role involves conducting in-depth research, focused on mobility and point of interest (POI) data. As a key contributor to our data analytics team, the Senior Data Analyst uses big-data technologies & statistical methods to transform location data into actionable insights, fine-tune models and optimize data pipelines.

RESPONSIBILITIES:

Conduct comprehensive data analysis, utilizing statistical techniques, to uncover valuable insights, patterns, and trends related to core algorithms in our product
Design, develop and maintain data pipelines using Apache Airflow, ensuring a timely and reliable generation of critical reports
Translate technical findings into actionable recommendations that support strategic planning and business optimization
Evaluate new potential data sources, assess added value and recommend if to integrate with the product
Leverage advanced technologies such as Python, SQL and PySpark for efficient data manipulation, analysis and modeling
Work closely with R&D and Data Science teams to ensure the optimal solution is built in terms of logic and infrastructure
Work closely with product teams to collaborate on innovative solutions for product gaps