לוח משרות דרושים הייטק דאטה

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:
* Bachelor's degree in Computer Science, Information Technology, or a related field (preferred).
* Proven experience in data lake administration, data management, or similar roles (required).
* Strong expertise in MS-SQL administration (required).
* In-depth knowledge of Azure Data Factory, Synapse, and Data Fabric (required).
* Experience with Terraform (preferred).
* Familiarity with data lake technologies such as Hadoop, Spark, and cloud-based solutions (e.g., AWS, Azure) (required for Azure; AWS is a plus).
* Proficiency in programming languages such as Python, Java, or Scala (preferred).
* Experience with data governance and security practices (preferred).
* Excellent problem-solving skills with strong attention to detail.
* Strong communication and collaboration skills.
* Fluent in English, both written and verbal.

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.

Requirements:
What It Takes 4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must Proven experience in the Fintech/Fraud Prevention Domain - Must
* Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must
* Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must
* Strong background in e-commerce or payments - Advantage
* A self-starter mentality someone who identifies opportunities, takes initiative, and drives improvements with minimal direction. Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.

Requirements:
* 5+ years of experience as a Business Analyst or similar role in a B2B SaaS company
* Proven ability to work independently and take ownership of analytical domains
* Strong experience in financial analysis, business modeling, and performance measurement
* Hands-on experience with BI and reporting tools (e.g., Looker, Tableau, Power BI) and Excel/Google Sheets
* Excellent communication and presentation skills, especially when working with senior leadership
* Strong business acumen, problem-solving skills, and the ability to simplify complex data
* Experience working with or alongside Finance teams
* Familiarity with CRM tools like HubSpot – an advantage

Requirements:
B.Sc. / M.Sc. in Computer science / Data Engineering / Physics
Graduated with honors from a well-known university
GPA > 90
Minimum 4 years of experience in data engineering ETL pipelines development focused on text processing.
Strong background with Python programming
AWS cloud services: EC2, S3, RDS, EMR, Lambda, Message Queue.
SQL - MySQL \ PostgreSQL, NoSQL MongoDB \ DynamoDB
Linux native and container knowledge
Git and CI\CD, preferably Jenkins & Gerrit
Well versed in MPP solutions, preferably OSS or AWS managed

Requirements:
4+ years of hands-on experience in backend, data engineering, or data platform engineering roles
Deep knowledge of data modeling, pipeline architecture, and large-scale data operations
Familiarity with metadata frameworks (DataHub, OpenMetadata, DataPlex, etc)
Proficiency in public cloud environments such as AWS and GCP, working with tools like Athena, EMR, BigQuery, Vertex AI
Familiarity with data governance, schema evolution, and privacy-first principles
Solid backend engineering foundations, with the ability to design robust services and APIs
A collaborative mindset, curiosity, and drive to learn and lead
Bonus points
Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.)
Recommended by an employee.

Requirements:
3+ years experience as a team lead of a data science team, managing at least 3 ICs
3+ years proven hands-on experience implementing machine learning algorithms and techniques in production grade environments
Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions
Ability to write clean and concise code in Python
Experience in the fraud domain - advantage.

Requirements:
7+ years of experience in data science, machine learning, or AI roles.
5+ years of management experience
Proficiency in LLM/NLP- a must
Proficiency in in programming languages such as Python, R, or Scala.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Strong analytical skills and experience with data visualization tools (e.g., Tableau, Power BI).
Solid understanding of statistical methods and data analysis techniques.
Experience working with large datasets and distributed computing (e.g., Hadoop, Spark).
Strong communication skills and the ability to work collaboratively in a team environment.
These would also be nice:
Experience with video technology and SaaS products is a plus.
Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. PhD is a plus.

Requirements:
BS or MS degree in Computer Science or a related technical field.
3-4 years of Python / Java development experience.
3-4 years of experience as a Data Engineer or in a similar role (BI developer).
3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
Experience working with Airflow - big advantage
Experience working with Kubernetes advantage
Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc MUST
Experience working with Spark advantage
Exceptional troubleshooting and problem-solving abilities.
Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.

Requirements:
BS or MS degree in Computer Science or a related technical field.
5+ years of Python / Java development experience.
5+ years of experience as a Data Engineer or in a similar role (BI developer).
5+ years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
Experience working with Airflow - big advantage
Experience working with Kubernetes advantage
Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc MUST
Experience working with Spark advantage
Exceptional troubleshooting and problem-solving abilities.
Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.

Requirements:
5+ years of experience as senior Data engineer and or Data Architect
Ability to translate business challenges into technical solutions
Excellent customer-facing skills
Hands-on experiences with AWS Data Cloud Services
Experience supporting and working with external customers in a dynamic environment
A team player who can efficiently collaborate with C-Level, developers, and sales teams
Hands-on attitude and experience in system design, PoC, and integration using cloud and other web services and APIs
Working experience with DB technologies (SQL, non-SQL), Data analytics, AI and ML
Deep understanding of ETL, ELT processes
Experience in functional and scripting languages: Python, Scala, etc.
Proven experience in technical leadership of small and large-scale cloud data projects
Snowflake knowledge is an advantage
Working experience with AWS's various eco-system and services - additional cloud environments - an advantage
Articulate verbal and written communication
Bachelor's (Master preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
Proven curiosity and ability to quickly self-learn
Fluency in Hebrew and English is essential

Requirements:
5+ years of experience in a Data Engineer role in a cloud native ecosystem.
3+ years of experience in AWS Data Services (mandatory)
Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems or another quantitative field.
Working experience with the following technologies/tools:
big data tools: Spark, ElasticSearch, Kafka, Kinesis etc.
Relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.
Functional and scripting languages: Python, Java, Scala, etc.
Advanced SQL
Experience building and optimizing big data pipelines, architectures and data sets.
Working knowledge of message queuing, stream processing, and highly scalable big data stores.
Experience supporting and working with external customers in a dynamic environment.
Articulate with great communication and presentation skills
Team player who can train as well as learn from others.
Fluency in Hebrew and English is essential

Requirements:
B.Sc. in Engineering or a related field
3 - 10 years of experience as a Data Engineer working on production systems
Advanced SQL knowledge and experience with relational databases
Proven experience using Python
Hands-on experience building, optimizing, and automating data pipelines, architectures, and data sets
Experience in creating and maintaining ETL/ELT processes
Strong project management and organizational skills
Strong collaboration skills with both technical (R&D) and non-technical (business) teams
Advantage: experience with Azure services such as Storage Accounts, Databricks, EventHub, and Spark