לוח משרות דרושים הייטק דאטה בתל אביב יפו

Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
3+ years experience in data engineering
Strong proficiency in SQL and Python
Experience with ETL tools and data warehousing solutions
Knowledge of big data technologies (Hadoop, Spark, etc.)
Experience with cloud platforms (AWS, Azure, or GCP)
Understanding of data modeling and database design principles
Familiarity with data visualization tools - Tableau, Sisense
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with version control systems (Git).

Requirements:
Bachelors or masters in computer science, Data Science, Machine Learning, or a related field, or equivalent industry experience, is required.
8+ years of experience in data engineering, or a related role, preferably in large-scale, complex environments, including prior experience as a software engineer.
Strong knowledge of big data technologies and data pipeline tools such as Kafka, Airflow, SPARK, ICEBERG, Presto and cloud-native services. Proficiency in programming languages such as Python, Java, or Scala.
Demonstrated success in leading major data initiatives, including building data architectures from the ground up.
Strong understanding of the intersection between software and data engineering, with experience in designing systems to meet complex and evolving data requirements.
Excellent communication, presentation, and stakeholder engagement skills, with the ability to work cross-functionally, convey complex technical concepts, and align diverse stakeholders toward common goals.
Comfortable operating and thriving in unexplored or ambiguous territory, with a high level of independence and self-motivation.

Requirements:
5+ years hands-on proven experience designing, building, and optimizing scalable and highly available data-intensive systems
In-depth understanding of big data engines and frameworks, such as Spark, and experience with ETL/ELT tools for robust data pipeline development
Proven ability to lead initiatives and drive technical agendas in a hands-on capacity, with potential for team building in the future
Knowledge of machine learning frameworks and strategic industry trends a plus
Strong business skills and strategic thinking, an innovative and growth mindset
Strong interpersonal skills to collaborate with internal teams and external partners effectively.

Requirements:
3-5 years experience in DataOps / Data Engineer/ Bi Developer/ Analytics Engineer - Must
Proficiency in Python, Bash, SQL, and Jinja.
Deep understanding of data workflows, database architecture, and data modeling. (DBT)
Deep understanding of data warehousing, including performance monitoring, cost management, data partitioning, and query optimization. (Bigquery).
Familiarity with data cataloging. (DATAHUB).
Hands-on experience with CI/CD processes.
Basic knowledge of Kubernetes, Elasticsearch, and Grafana.

Requirements:
Graduate with a degree in Industrial Engineering and Management or a similar major 
Experience with databases and SQL - a Must 
Outstanding technical and analytical skills 
Highly motivated with an exceptional work ethic 
High attention to detail with an ability to work on multiple projects simultaneously 
Strong interpersonal and communication skills 
Quick, self-learning capabilities and creativity in problem-solving 
Preferred: 
Familiarity with Python 
Familiarity with Airflow, ETL tools, Snowflake and MSSQL 
Hands-on with VCS (Git) 

Requirements:
10+ years of experience in data leadership roles, ideally within a high-growth SaaS company.
Strong background in building and managing cross-functional data teams (Product, Analytics, Science).
Hands-on expertise with modern data tools and platforms (e.g., Snowflake, dbt, Airflow, Looker).
Demonstrated success in building data strategies that drive real business impact.
Experienced in building scalable and compliant data infrastructure (GDPR, SOC 2, etc.).
Exceptional communication and collaboration skills, with executive presence.
Proven ability to hire, mentor, and grow senior-level data professionals.
Strong technical depth and ability to dive into architectural discussions and design reviews.
Comfortable owning delivery timelines, code quality standards, and technical backlog.
Passionate about data quality, efficiency, and empowering teams through insights.

Requirements:
5+ years of experience as a big data engineer
Prior experience writing in Python/SQL
Experienced with high-scale data pipelines over the cloud
Managed data flows over a cloud-based data warehouse. Experience with Google Bigquery or Snowflake - an advantage!
Prior work with event-based system and messaging queues such as Kafka, RabbitMQ or cloud-managed queueing solution -big plus
Working with DBT
Team player with great communication and presentation skills.

Requirements:
You have experience solving large-scale, data-intensive problems in production environments (we process trillions of events per day, so comfort with big data is essential).
You are fluent in Python and SQL, and comfortable with modern data tools and platforms.
You understand the strengths and trade-offs of various statistical and detection approaches, and can ship practical solutions to production.
You are able to bring clarity to ambiguous problems and simplicity to complex ones.
You write maintainable, object-oriented code and have strong debugging skills.
Youve worked on cross-functional projects with both technical and non-technical stakeholders, and are comfortable following SDLC best practices (version control, unit testing, CI/CD).
Experience in fraud detection, account security, or the cybersecurity space is a strong advantage.

Requirements:
Data Analyst: 3+ years of experience as a data analyst, in cybersecurity or fraud domains.
SQL: Expertise in SQL for data analysis.
Python: Experience in data analysis with Python and Jupyter Notebooks.
Soft Skills: Excellent collaboration, communication, and problem-solving skills.
Independence: Ability to work autonomously, take initiative, and drive projects with minimal supervision.
Advantage:
Data Warehousing & Analytics: Experience with big data platforms like BigQuery and Snowflake.
Dashboarding: Proficiency in building dashboards using BI tools.
Security Research: Experience in web security and security research.
Web Applications: Experience in JavaScript and building web applications.

Requirements:
B.Sc. in Computer Science or equivalent.
4+ years of extensive SQL experience (preferably working in a production environment)
Experience with programming languages (preferably, Python) a must!
Experience working with Snowflake or with Google BigQuery
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Working closely with BI developers
Quick, self-learning, and good problem-solving capabilities.
Good communication skills and collaboration.
Process and detailed oriented.
Passion for solving complex data problems.
Desired:
Familiarity with Airflow, ETL tools, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.

Requirements:
You have experience solving large-scale, data-intensive problems in production environments (we process trillions of events per day, so comfort with big data is essential).
You are fluent in Python and SQL, and comfortable with modern data tools and platforms.
You understand the strengths and trade-offs of various statistical and detection approaches, and can ship practical solutions to production.
You are able to bring clarity to ambiguous problems and simplicity to complex ones.
You write maintainable, object-oriented code and have strong debugging skills.
Youve worked on cross-functional projects with both technical and non-technical stakeholders, and are comfortable following SDLC best practices (version control, unit testing, CI/CD).
Experience in fraud detection, account security, or the cybersecurity space is a strong advantage.

Requirements:
Data Analyst: 3+ years of experience as a data analyst, in cybersecurity or fraud domains.
SQL: Expertise in SQL for data analysis.
Python: Experience in data analysis with Python and Jupyter Notebooks.
Soft Skills: Excellent collaboration, communication, and problem-solving skills.
Independence: Ability to work autonomously, take initiative, and drive projects with minimal supervision.
Advantage:
Data Warehousing & Analytics: Experience with big data platforms like BigQuery and Snowflake.
Dashboarding: Proficiency in building dashboards using BI tools.
Security Research: Experience in web security and security research.
Web Applications: Experience in JavaScript and building web applications.

Requirements:
Requirements:
B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree).
4+ years of hands-on experience with Machine Learning and Deep learning algorithms.
High proficiency with Python and SQL.
Experience with NLP and NLU algorithms, including Question Answering, Reading Comprehension, Language Embeddings, etc or equivalent experience in other Deep Learning modalities.
Experience developing end to end data science solutions in production, writing scalable and automated solutions.
Team player with strong communication and collaboration skills.

Advantages:
Ph.D. in an analytical field.
Experience working with Cloud Infrastructure: AWS, Docker, Kubernetes etc.
Experience with LLM models in production systems.

Requirements:
* B.Sc. in Computer Science, data Engineering, or a related field.
* 3+ years of hands-on experience in large-scale data infrastructures.
* Strong Python programming, with expertise in PySpark and Pandas.
* Deep knowledge of SQL and NoSQL databases, including performance optimization.
* Experience with ElasticSearch and AWS cloud services.
* Solid understanding of DevOps practices, Big Data tools, Git, and Jenkins.
* Familiarity with microservices and event-driven design.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with LangChain, ClickHouse, DynamoDB, Redis, and Apache Kafka.
* Knowledge of Metabase for data visualization.
* Experience with RESTful APIs and Node.js. Talent We Are Looking For Independent & Self-Driven Comfortable building from the ground up. Growth-Oriented Eager to develop professionally and take on leadership roles. Innovative Passionate about solving complex data challenges. Collaborative Strong communicator who works well with cross-functional teams. Adaptable Thrives in a fast-paced, dynamic environment with a can-do attitude. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
* B.Sc. in computer science/information systems engineering
* 5+ years of experience in data engineering (Preferably from a startup company)
* Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
* Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
* Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
* Coding experience with Python
* Experience with dashboard tools.
* Ability to communicate ideas and analyze results effectively, both verbally and in writing.

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.