דרושים » דאטה » חברת הייטק בתחום המדיקל בחיפה מגייסת data Engineer

We seek a highly skilled and experienced Solution Architect with a deep understanding of Data and operations to join our team. In this role, you will be responsible for designing and implementing data-centric solutions that enable our customers to achieve their business objectives, with a strong focus on building efficient and reliable ETL pipelines. You will work closely with clients to understand their needs, translate them into technical requirements, and architect scalable, reliable, and secure data pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their data
challenges.
Design and implement end-to-end DataOps solutions, including data
ingestion, processing, storage, and analysis.
Leverage cloud technologies and best practices to architect scalable and
cost-effective data architectures.
Ensure data quality, integrity, and security throughout the data lifecycle.
Automate data pipelines and workflows to improve efficiency and reduce
manual effort.
Stay up-to-date with the latest DataOps trends and technologies.
Provide technical guidance and mentorship to other team members..

About The Position:

Design, build, and Maintain DBT jobs to transform raw data into analysis-ready data sets to be used in BI and analytics applications.

Maintain a reliable organizational single-source-of-truth schema to support informed, data-driven decisions.

Design, build, and integrate data into star\snowflake schema models.

Collaborate with stakeholders (Finance, Commercial, Service, Operations) to understand their reporting needs, and translate them into technical design documents.

Implement complex business logic in SQL statements, ensuring data consistency, and reliability.

Work closely with data engineers and BI analysts to shape a modern ELT strategy.

Establish best practices for semantic data layers and data catalogue dictionary.

Monitor, troubleshoot, and optimize the health and quality of our data processes.

Stay up to date with BI development, DBT, and Snowflake; share knowledge, learn new skills, and contribute to the data roadmap.

we are a world-leading online trading platform with hundreds of thousands of active users placing millions of trades a month. Our mission is to disrupt the age-old trade markets by building digital technologies that make trading around the world accessible and more efficient.
Description:
We are looking for a Product Data Analyst who can see beyond the numbers, leveraging data to inform, influence, support, and execute strategic product decisions. You will play a crucial role in guiding the direction of our products, ensuring that data-driven insights are at the forefront of our decision-making process. Your ability to translate complex data into actionable recommendations will be key in shaping our product strategies and driving business growth.
You will collaborate with an Agile-Scrum cross-functional team consisting of talented individuals from multiple disciplines, including Product, Backend, Mobile, Web, Quality Engineering, Design, and more. Together, you will work on delivering the company roadmap, initiatives, and projects, all aimed at creating great products that drive value for our traders.
As a Product Data Analyst, you will:
Play a crucial role in product decisions by identifying areas for improvement and recommending growth opportunities.
Be the domain expert and the analytical focal point.
Build and maintain reports, dashboards, and metrics to monitor performance.
Analyse business performance and decisions, identify patterns and trends, and define and develop KPIs and other measurement tools.
Establish strong communication channels and build excellent working relationships with diverse stakeholders like Product, Marketing, Data, and R&D teams.
Provide stakeholders with actionable recommendations, insights, and conclusions.
Collaborate closely with stakeholders to create and enhance personalized user journeys, improve user segmentation, and boost conversion rates.
Dig into users' flows to understand their behavior and journey, and find places we can improve the flow for better conversion.
Design and execute A/B experiments and KPIs, gaining a deep understanding of your domain through both quantitative and qualitative analyses.