דרושים » תוכנה » מפתח/ת מנועי חיפוש

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:
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 of experience with Tableau, including dashboard creation, data visualization, and server management.
* Strong understanding of data warehousing concepts, data modeling, and ETL processes.
* Proficiency in SQL and experience with databases like SQL Server, Oracle, MySQL, etc.
* Excellent analytical and problem-solving skills, with a keen attention to detail.
* Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical teams - Must have
* Experience with Python for statistical analysis and modeling — an advantage.
* Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.

Requirements:
A fast mind.
At least 2 years of experience in product-oriented data analytics/feature engineering/data science/research definition/hypothesis lead research.
Relevant academic background - MSc in STEM fields, such as Physics, Neuroscience, Biotechnology, etc.
Extensive experience in working with data, preferably using scripting languages such as Python, R, or Matlab.
Strong verbal and written communication abilities - effectively articulating complex issues, designs, and concepts.

Requirements:
Qualifications:
At least 5 years of experience in Big-Data technologies as a data engineer, including ETL /ELT processes and data exploration.
At least 3 years of experience in building end-to-end data pipelines using Spark, Databricks or similar tools is required.
At least 3 years of experience in Python programming and SQL queries. Experience as a backend Developer - advantage.
Team player committed to the success of the team.
Strong verbal and written communication skills with the ability to clearly explain technical concepts.
Excellent debugging, investigating and problem-solving abilities.
Curious learner who loves sharing knowledge and best practices, and can work both independently and in a team.
Ability to thrive in a fast-paced, ambiguous, and changing environment.