לוח משרות דרושים איש ביג דאטה Big Data

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:
BSc. in Computer Science- must
5+ years of software development experience- must
Strong skills in Python- must
Experience with big data frameworks & solutions (Spark/Presto/Athena/Trino or similar)
Experience with databases (relational and schema-less) and efficient data modeling
Experience with containerized services
Advantages:
Experience with AWS
Experience in developing backend services with known frameworks (Django, Flask, or any similar)
Experience with Kafka or similar streaming/messaging platforms
Knowledge with web development concept (HTML, CSS and Javascript).

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.

Requirements:
* 5+ years of experience in backend design and development * 3+ years of experience with Spark distributed computing frameworks. * 2+ years of experience in server-side development using Node.js * 2+ years of experience with Python and TypeScript/JavaScript * 1+ year of experience with Airflow * Experience with high-scale production environments * Experience in designing and developing large distributed systems and microservices architecture * Experience with Docker/Kubernetes (advantageous) * Experience with React (advantageous) * B.Sc. degree in Computer Science or equivalent practical experience

Requirements:
Over 2 years' experience as DBA (infrastructure and applications), preferably with experience in production environment
Proven track record with Linux at a high level
Vertica experience is a significant advantage!
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
Over 2 years' experience as Linux Sysadmin
Experience in writing Perl, Python script
Experience in writing complex SQL queries - a significant advantage
Experience in high-level databases - a significant advantage
Experience in software development - a significant advantage
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
Experience in BI development using one or more of these tools: BO, Cognos, Informatica.
Experience with MicroStrategy - a significant advantage
Experience in high-level Linux work - a significant advantage.
Experience in writing scripts: Perl, Python - a significant advantage.
Experience in writing complex SQL queries - a significant advantage.
Experience in high-level databases - a significant advantage.
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
Over 2 years' experience as Python developer in Linux environment.
Experience with databases.
Undergraduate degree in computer science / engineering or candidates with army service in software development / system administration - a significant advantage.
Patient and service-oriented, can fit well into a team, good self-learning skills and lateral, high-pressure work.
Experience in working with customers.

Requirements:
5+ years in data analysis experience in Payments Acquiring/ Checkout industry - a must
Experience working with complex B Analytics platforms, and programming languages: Power BI, SQL queries, Google Big Query.
Experience working in a global environment a must
Experience managing relationships with company executives and leading initiatives to support data driven business decisions.
Bachelor's Degree in Computer Science, Mathematics, Statistics, or equivalent fields
Deep understanding of the Data Analytics landscape. Monitor industry trends and implement best-in-class analytical concepts and data models
Present and communicate business insights and data trends in meetings with senior leaders across the organization
Well organized, energetic and hands on individual with a can-do approach
A problem solver, experienced working under pressure
Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment
Excellent English level
Experience with building data models

Requirements:
Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics, or another quantitative field.
3+ years of experience as a Data Analyst.
3+ years of experience as a Data Analyst Team Leader.
Strong business acumen with the ability to translate data insights into strategic actions.
Strong experience with SQL and ability to optimize queries for performance.
Experience building dashboards and reports using Power BI, Tableau, Looker, or similar tools.
Proficiency in Python (especially Pandas) for data analysis advantage!

Requirements:
5+ years of experience with SQL and ETL development in a cloud environment, preferably Google Cloud Platform (BigQuery, Airflow, DBT).
Strong Python skills for data processing, automation, and scripting.
Experience with legacy ETL tools such as SSIS or Informatica is a plus.
Independent, adaptable, and able to multitask under tight deadlines and capable of learning new technologies and working in a dynamic environment.
Ability to collaborate with cross-functional teams and translate business requirements into technical solutions.
Strong knowledge of data modeling.

Requirements:
7+ years of programming experience in server-side components/backend technologies
2+ years of experience in Big Data development
5+ years of experience with Java
B.Sc. in Computer Science or equivalent
Team player
Nice to Have:
Experience with Python and PySpark
Deep understanding of NoSQL databases such as Elasticsearch and MongoDB
Significant experience with both EMR and EMR Serverless, as well as other big data processing engines on cloud infrastructures.

Requirements:
4+ years of experience in data engineering or a related role within a production environment.
Proficiency in Python and SQL
Experience with both relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Elasticsearch).
Familiarity with big data AWS tools and frameworks such as Glue, EMR, Kinesis etc.
Experience with containerization tools like Docker and Kubernetes.
Strong understanding of data warehousing concepts and data modeling.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to work collaboratively in a team environment.

Requirements:
Bachelor's or Master's degree in a related field (e.g. computer science, data science, engineering, computational biology)
At least 5 years of experience with programming languages, specifically Python
Must have at least 3+ years of experience as a Data Engineer, ideally with experience in multiple data ecosystems
Proficiency in SQL and experience with database technologies (e.g. MySQL, PostgreSQL, Oracle)
Familiarity with data storage technologies (e.g. HDFS, NoSQL databases)
Experience with ETL tools (e.g. Apache Beam, Apache Spark)
Experience with orchestration tools (e.g. Apache Airflow, Dagster)
Experience with data warehousing technologies (ideally BigQuery)
Experience working with large and complex data sets
Experience working in a cloud environment
Strong problem-solving and communication skills
Familiarity with biotech or healthcare data - an advantage

Requirements:
8+ years of hands-on experience in data Architecture, Big Data, or Cloud data Engineering. Expertise in open-source data Lakehouse technologies (Apache Iceberg, Delta Lake, Hudi, Presto/Trino, DuckDB, etc.).
* Deep hands-on experience with distributed computing frameworks (Apache Spark, Flink, Kafka, etc.).
* Strong coding skills in SQL, Python, and data modeling techniques
* Experience in designing and deploying scalable ETL /ELT pipelines (Apache Airflow, Dagster).
* Proven track record working with cloud platforms (AWS, GCP, Azure) and hybrid on-prem architectures.
* Strong knowledge of BI tools, analytical querying, and text search (Elasticsearch, OpenSearch). Proactive, execution-driven mindsetable to build, iterate, and scale quickly.