לוח משרות דרושים איש ביג דאטה Big Data

abra professional services is seeking for an senior data engineer. We are seeking a Senior Data Engineer to lead the technical development of our Data Fabric within a military program. This role involves technical leadership in building contextual data pipelines, working with big data lakehouse architectures, and driving data pipeline automation.

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

Required Big Data Engineer Team Lead
We are an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.
We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.
Our state-of-the-art machine learning technology analyzes 50TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our machine learning predictions, business-critical metrics, and analytics to power our decision-making.
As a Big Data Team Lead, you will lead a team focused on building scalable, algorithm-heavy data products rather than owning the underlying data infrastructure.
Your team will be responsible for implementing complex business and optimization logic-often incorporating multiple algorithms using Peta-Byte scale data processing (primarily PySpark). A core part of the role is ensuring these data products are explainable, observable, and trusted by Data Science, BI, Product, and business stakeholders.
You will work closely with the Data Infrastructure TL, Data Science, BI, and Product to turn advanced logic into production-grade, transparent, and measurable systems.
Responsibilities:
Lead development of scalable, algorithm-heavy data products using PySpark and Implement and maintain complex, multi-stage data flows with multiple interacting algorithms.
Translate business and algorithmic requirements into clear, testable data logic. Ensuring explainability of outputs through intermediate artifacts, metadata, and documentation & Defining and monitoring; observability signals for data quality, algorithm health, and business impact.
Mentor engineers on reasoning about complex logic, edge cases, and failure modes.

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.



What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

We face extremely complex technological challenges and need talents to help us overcome them.
We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.
The successful candidate should have hands-on experience with big data processing technologies and architectures.
The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.
Responsibilities
Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.+
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.