דרושים » דאטה » Senior Data Engineer

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals.

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Were looking for a Big Data Engineer who loves turning massive, messy datasets into scalable, reliable systems. Youll design and maintain data pipelines, ensure data quality, and collaborate with data scientists and product managers to bring new insights to life.

What youll do:
Design, build, and optimize scalable data pipelines and ETL processes
Own data products from design to production.
Ensure data accuracy, integrity, and performance across large datasets.
Collaborate with data scientists and engineers to deliver production-grade experiment.

We are seeking a seasoned and strategic Head of BI to lead our Business Intelligence group.
In this pivotal role, you will be responsible for overseeing the full BI stackfrom data infrastructure and pipelines to analytics and reportingwhile managing a team of data engineers and analysts.
You will drive the design and execution of our data strategy, ensure delivery of trusted insights across the organization, and lead the team responsible for building and maintaining our data platform and analytics capabilities. This is a hands-on leadership role requiring a balance of technical depth, managerial experience, and strategic thinking.Responsibilities
What Youll Be Doing:
Lead, mentor, and scale a cross-functional team of BI Analysts and Data Engineers.
Own and evolve our data warehouse architecture, ensuring integrity, scalability, and performance (Snowflake preferred).
Oversee the design and development of ETL/ELT pipelines and semantic data models using tools such as dbt, Python, and Airflow.
Collaborate with senior stakeholders to align business goals with data priorities, translating requirements into scalable solutions.
Define and implement best practices across the entire BI lifecycle: data ingestion, transformation, modeling, visualization, and governance.
Deliver robust, actionable dashboards and insights that drive key business decisions and KPIs.

We are looking for a Data Analytics Engineer.
What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques

We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.
Description:
Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.
Responsibilities
Design, build, and maintain scalable data processing infrastructure to handle large-scale telemetry from Apple's global device fleet
Develop highly scalable data pipelines to ingest and process storage performance metrics, usage patterns, and system telemetry with actionable alerting and anomaly detection
Build and maintain robust data platforms and ETL frameworks that enable CoreOS Storage teams to access, process, and derive insights from storage telemetry data
Engineer automated data delivery systems and APIs that serve processed storage metrics to various engineering teams across different storage domains

At CodeValue , we specialize in delivering cutting-edge software solutions and driving innovation across industries. We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.
Key Responsibilities
* Design, implement, and maintain Big Data pipelines in production.
* Work extensively with Apache Spark (2.x and above) , focusing on complex joins, shuffle optimization, and performance improvements at scale.
* Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms
* Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.