לוח משרות דרושים איש ביג דאטה Big Data עבודה היברידית

Requirements:
Academic background (at least BA or equivalent)
Ability to independent research for information over the
web and other platforms
Detailed knowledge of the PC and Mobile gaming
markets from a player perspective
Fluent English level-MUST
A background as an analyst or similar field
Desired
Advantage Experience in Gaming companies
Advantage-- Experience in Research

Requirements:
3+ years of experience in creating and performing Surveys in an online/mobile company.
Academic background (at least BA or equivalent).
Ability to create independent research.
Very high English level a must!
Experience with data base analysis: Excel, SPSS, R, Python.
Desired
Advantage: Interest in games culture and in games.
Advantage: Visual communication skills.
Advantage: Background in academic research.
Advantage: Experience in Gaming companies.

Requirements:
Qualifications:
2+ Years of experience as a Software Engineer.
Excellent logical reasoning, problem solving and debugging skills.
A university degree in Computer Science or in a related technical discipline.
Experience with developing software in distributed, cloud-based systems.
Interest in Data Science and Cyber Security.
A team player with strong communication skills and drive for results.

Preferred qualifications:
Experience with Big Data systems, Data Pipelines and Reporting.
Experience with Python, SQL, and other scripting languages.
Azure, Cosmos DB, Spark, AML, Azure Data Explorer, KQL.
C# and .NET.
Knowledge in ML and Data Science.
Knowledge in Cyber Security.

Requirements:
Qualifications:
5+ Years of experience as a Software Engineer.
Excellent logical reasoning, problem solving and debugging skills.
A university degree in Computer Science or in a related technical discipline.
Experience with developing software in distributed, cloud-based systems.
Experience with Big Data systems, Data Pipelines and Reporting.
Experience with C#, Python, SQL, and other scripting languages.
Interest in Data Science and Cyber Security.
A team player with strong communication skills and drive for results.

Preferred qualifications:
Azure, Cosmos DB, Spark, AML, Azure Data Explorer, KQL.
Knowledge in ML and Data Science.
Knowledge in Cyber Security.

Requirements:
BSc in Computer Science or related degree.
2+ years of experience in leading an engineering team.
6+ years of data engineering experience as a developer, tech lead, or architect.
4+ years of experience in Java.
Strong system architecture knowledge.
Experience in building high-volume and scalable applications.
Proficiency with cluster technologies, distributed systems, or streaming applications.
Familiarity with SQL and NoSQL databases.
Experience with pipelines/ Spark/ Kafka.
Experience with Vertica/ Redis/ Elasticsearch/ Hadoop.
Familiarity with Scrum methodologies.
AWS Service Experience.
Working knowledge of Linux, Docker, Kubernetes, CI/CD, and rollout plans.
Excellent spoken and written English communication skills.
Proactive team player with a desire to impact our engineering team, product, and customers.

Requirements:
Bachelor's Degree in Computer Science/Computer Engineering or equivalent degrees.
6+ years of data engineering experience.
Experience in building and optimizing data pipelines, ETLs, and streaming systems using technologies like Hadoop, Spark, and Kafka.
3+ years of experience in Java or Scala.
Experience with SQL & NOSQL DBs.
Experience in dealing with performance and high scale systems.
Experience with Kubernetes - advantage.
Experience with Gitlab, Grafana, InfluxDb, Kibana advantage.
Team player, ego less, strong communication skills.

Requirements:
BA/BS degree in Computer Science or a related technical field or equivalent practical experience
Over 3 years of experience in a data engineering role
At least 1 year of managing a team of data engineers/developers
Coding experience with Python
Experience with SQL and NoSQL databases 
Experience with data modeling, data warehousing, and building ELT/ ETL pipelines
Experience with Cloud technologies - AWS preferred
Experience building data pipelines with Big Data frameworks such as Spark, Hadoop, etc.
Experience working with CI-CD, Docker
Experience with Git and the various branching models
Experience with architecture and design patterns (microservices in particular) 
Technologically diverse background and ability/willingness to learn new things quickly

Requirements:
4+ years experience in a technical role as a BI Engineer or data lead in SaaS company, in an internal BI function.
Proven hands-on experience in developing data pipelines and ETL processes.
Strong command of SaaS metrics like ARR, net retention, funnel conversion rates, etc.
Proven experience working with Tableau to create compelling visualizations.
Experience with writing complex SQL queries.
Experience with data modeling, data warehouse implementation, and maintenance.
Ability to collaborate with multiple stakeholders, including go-to-market and more technical teams.
Experience training end-users, rolling out new products, and driving them to full adoption.
Proven record of merging multiple data sources to develop a single source of truth for reporting needs.
A self-learning, self-starter attitude with an enthusiasm to work in a fast-paced, team-oriented start-up environment.
A passion for analytics and strong analytical skills.
Excellent project and task management skills.
Fluent in English and Hebrew - high-level written and verbal communication skills.
Advantages
Prior experience with Snowflake and Rivery
Prior experience with other tools and languages such as PowerBI and Python.
Prior experience with companies combining subscription and consumption-based revenue.