לוח משרות דרושים איש ביג דאטה Big Data, לחיפוש זה נמצאו 28 משרות

Requirements:
Proven experience as a Data Scientist.
Proven experience designing and maintaining large-scale data platforms (hundreds of TBs)
3+ years of proven experience leading and managing a team of data engineers (people management is required)
4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience
Expertise with data orchestration tools (Airflow, Prefect, or Dagster)
Cloud platform experience - GCP preferred (AWS/Azure acceptable)
Familiarity with Docker
Strong communication, mentorship, and collaboration skills
BSc/MSc in Mathematics/ physics/ statistics/ Computer Science.
Fluent English (spoken and written)

Requirements:
8+ years of production backend or data infrastructure experience, with at least 2 years at Staff Engineer or equivalent level
Excellent teamwork and communication skills, with a demonstrated ability to explain complex systems and facilitate collaborative solutions.
Strong backend fundamentals; Python is our primary language, but we value engineering fundamentals over specific syntax
Proven experience owning systems in production, including monitoring, troubleshooting, performance and reliability improvements
Familiar with DevOps tools and practices, including CI/CD, deployment pipelines, observability, and quality assurance (unit, integration testing)
Experience with AWS and storage at scale (MySQL, Snowflake, Redis)
A proactive attitude and a passion for providing technical solutions that bring an immediate business impact and ensure engineering excellence

Requirements:
3+ years of experience in a Product/Data Analyst role (Must-have).

Proven SQL proficiency with strong query capabilities.

Hands-on experience with AI/LLM tooling in an analytics context, including building AI agents, RAG/vector search systems, or automation workflows (n8n or similar) - A strong advantage.

Experience analyzing B2B/B2C Product-Led Growth (PLG) products - An advantage.

Experience in B2B SaaS product analysis - An advantage.

Exceptional quantitative and analytical skills.

Experience in data modeling and building ETL pipelines - An advantage.

Excellent English communication skills, both verbal and written.

Experience working with Tableau BI - An advantage.

Requirements:
* 5+ years of Data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake).
* Minimum 3 years in a leadership role, with a proven history of guiding teams to success.
* Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
* Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
* Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub).
* Fluent in Python and SQL, with a backend development focus (services, APIs, CI/CD).
* Excellent communication skills, capable of simplifying complex technical concepts.
* Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
* Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
* Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
* B.Sc. in Computer Science / Engineering or equivalent.
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.
Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Requirements:
5+ years of Data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake).
Minimum 3 years in a leadership role, with a proven history of guiding teams to success.
Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub).
Fluent in Python and SQL, with a backend development focus (services, APIs, CI/CD).
Excellent communication skills, capable of simplifying complex technical concepts.
Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
B.Sc. in Computer Science / Engineering or equivalent.

Requirements:
Requirements
5+ years of experience building and operating large-scale backend, platform, or data infrastructure systems.
Strong programming skills in Python, Go, or Node.js.
Deep understanding of distributed systems, scalability, reliability, and performance optimization.
Strong experience with relational databases such as PostgreSQL or MySQL.
Strong experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar technologies.
Proven experience optimizing database performance, query execution, indexing strategies, and large-scale data models.
Experience designing and operating data lakes and large-scale storage systems.
Experience building and maintaining data pipelines and ETL/ELT workflows.
Experience with event-driven architectures and messaging platforms such as Kafka.
Hands-on experience with cloud platforms, preferably AWS.
Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform.
Strong experience with monitoring, observability, and production troubleshooting.
Excellent communication and collaboration skills.

Requirements:
Bachelor's degree
A high level of English proficiency (both written and verbal) - must
Creative thinking
Strong analytical skills and attention to detail
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
Ability to develop and deliver training programs and support materials
Strong problem-solving skills and the ability to develop and implement effective solutions
Strong project management skills and the ability to manage multiple projects simultaneously
Experience in similar positions - a plus

Requirements:
3-5 years of experience in data engineering in Big Data environments
2+ years of experience with Spark and its ecosystem.
Experience using JVM stack, build tools, and environment (We mostly use Scala)
Experience with public cloud environments (AWS will be a bonus), Hadoop ecosystem, SQL and NoSQL databases
High proficiency with Python and at least one JVM-based language (Scala, Java, or Kotlin)
Proficiency with SQL and experience with ETL and data modeling and development
Positive attitude and willingness to take ownership
A mindset of continuous learning and the desire to try new things
Ability to see the "big picture" and to understand the business side of things