לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER בתל אביב יפו

Required Senior Data Engineer
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

Data Infrastructure team is seeking a talented Data (Infra) Engineer to join us.
In this role, youll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. Youll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.
Were looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.
In This Role, You Will:
Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.

The role will entail:
Design and develop data platforms based on Elasticsearch, Databricks, and Kafka.
Build and maintain data pipelines that are efficient, reliable and scalable.
Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements.
Write efficient and optimized code that can handle large volumes of data
Implement data quality checks to ensure accuracy and completeness of the data.
Troubleshoot and resolve data pipeline issues in a timely manner.

Required 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, using tools like DBT.
Develop Data pipelines to ingest and transform 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. This will also include catalogs of data.
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 an experienced Backend Developer to join our growing data platform team.
As a Backend Developer, you'll work on a massive data processing pipeline, ingesting over a billion daily events from multiple sources. You'll also create the next-generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Own projects from initial discussions to release, including data exploration, architecture design, benchmarking new technologies, and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data-related issues.
Develop unit, integration, end-to-end (e2e), and load tests.

Required Senior Data Engineer
About the Role:
Our Senior Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.
In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role for our Tel Aviv office is a hybrid role working at least two days per week in the office.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
The ideal candidate will be:
A technology enthusiast who loves data and get shiver excitement from tech innovations
Desire to know how things work and a greater desire to improve them
Intellectual curiosity to find unusual ways to solve problems
Comfortable taking on challenges and learning new technologies
Comfortable working in a fast-paced dynamic environment.

Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.