דרושים » דאטה » DBA אפליקטיבי

Aristocrat-Interactive, an international online lottery software and service provider, is the leading developer and provider of global e-Instant win games for the lottery industry.
We are seeking a quality and experienced MS SQL Server DBA Production team leader — infrastructure and applicative.
The DBA team leader will be responsible for all DB aspects in the production environments.
 
Responsibilities:
· Manage a DBA Production team, manage tasks, and set priorities.
· Provide consultation on SQL Server for System Architects, Security Officers, Development DBAs, Tribes, and Product Owners.
· Responsible for new team’s employees' onboarding and training, and for the ongoing training and learning of the team
· Responsible for the team off hours response to critical issues on production.
· Perform as a production DBA.  

Production DBA:
· Performs performance tuning, Query optimization, database installations, configurations, updates, backups and monitoring.
· Provide support for multiple environments — development, test and production.
· Anticipates, mitigates, identifies, responds and resolves problems affecting database performance, efficiency, and availability.
· Improve and support processes to ensure zero application downtime on critical issues or during DB deployment of new application releases.
· Work according to documentation, guidelines and policies of working procedures.
· Clearly communicates problems and resolution process to customers and/or management.
· Demonstrates commitment to outstanding customer service by continuously striving to provide the highest possible customer service; makes recommendations for improving service and efficiencies.
· Work according to documentation, guidelines and policies of working procedures.
· Provide support for the operation teams 24/7 — on call in off work hours only for critical issues (one week a month).
· Maintains database security in compliance with APEI policies, GDPR and PCI security standards.

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design and a deep understanding of data architecture. This role is a key part of our Data Department, which plays a critical role in supporting business decisions and managing complex financial processes including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analysis.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We are looking for an Algo/ML Product Analyst to join our R&D center in TLV. The position is to be part of our Algo-Routing product team, responsible for our research on a wide variety of topics, providing data insights, helping drive optimization of the product and user experience. As an Algo Product Analyst youll be working closely with data scientists, algorithm developers, product managers, business teams and more.

All of our Product Analysts are all highly autonomous, highly valued members of the product team - leaders in their field, and product experts. They are curious and independent team members, passionate about tackling complex problems in a world of rich data and real-life user needs.

What You'll Do:
Take an integral part in developing our next generation of Algorithms to solve transit problems across the world.
Analyze product algorithmic behavior and product performance data, develop measures to ensure product health and data-driven decisions
Become the focal point for all data-related matters in your team / field
Work independently and with team-members to discover product insights, collaborate with product-managers to drive data-driven product priorities
Take full data ownership for existing and new features: define data points, extract data from multiple sources, conduct ad-hoc / periodic analytics, make complaining arguments
Create, support, monitor and maintain reports / dashboards for various roles
Initiate, own and manage multiple data projects simultaneously
Work closely with PMs, algorithm developers, business teams, data scientists and more.

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

We are looking for an experienced Senior Data Analyst to join the Financial Planning & Analysis department as a foundational member of our in-house Data Analytics team. This critical role will specifically partner with our Revenue team, working with them to track and analyze the drivers of our variable profitability, ranging across: customer behavior trends, pricing strategy, product profitability, and more. To succeed in this role, you should be very comfortable coding in Big Query, visualizing with PowerBI, and most unique to this data analyst position enjoy applying these skills to finance-specific analyses.

What youll do: 
Lead end-to-end development of new BI solutions to enhance the Revenue teams reporting and analytical capabilities (e.g., writing complex, efficient Big Query SQL queries that feed Power BI dashboards).
Partner with business stakeholders to understand and address their reporting and analytical needs.
Help define and design new key metrics and segmentations to improve how we track the business.
Work closely with the Data department to identify and support implementation of data-related improvements across the organization.

Location: Tel Aviv, Israel
Hybrid
Full-time

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek a Director of data to join us and lead our data group. As our Director of data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact: Define and execute a strategic data roadmap aligned with business objectives, fostering a data -driven culture and leading a high-performing team of data engineers, scientists, and analysts.
* Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
* Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
* Collaborate with product and engineering teams to create and launch data -driven products, ensuring they are built on reliable data and designed to meet customer needs.
* Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
* Implement data governance policies and maintain compliance with industry regulations and best practices.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

We are looking for a Senior Data Analyst who will join our R&D team.
As a Data Analyst, you will have a significant opportunity for impact, driving the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams, and drive strategic business decisions that shape the direction of the company.
What you will do:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Understanding business operations requirements and creating useful and planned solutions to address data needs
Analyze large datasets and provide useful actionable recommendations to support the business operations goals
Develop data processes and build data infrastructure for the relevant stakeholders
Build and maintain reports, dashboards, and KPIs to monitor performance
Translate business requirements to analytical logics, and create a clear visualization which "tells the story".