דרושים » ניתוח מערכות » data ENGINEER

We are looking for a System Analyst.
As our System Analyst, youre not just crunching numbers, youre crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.

We are seeking an experienced Data Engineer to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles.
You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

We are seeking an experienced DataOps Engineer (the first position in our data organization) to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles. You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.