לוח משרות דרושים מתכנת Oracle / PL/SQL בירושלים וסביבתה

We are looking for a Senior BI Developer.
The BI team makes sure we are data driven in all its decisions.
We are the team that incorporates product, marketing and finance data to get a full picture of our business status.
Our team defines and builds the data pipelines and analytics infrastructure while performing cross-app analysis and visualizations. We work closely with analysts, data scientists and other stakeholders to facilitate their work and align everyone to create one source of truth.
What you will be doing:
Collaborate with stakeholders from different departments to capture analytical requirements
Develop data pipelines and build data infrastructure including data quality
Data ownership - define, document and integrate KPIs across the company
Define and monitor KPIs for various departments in the company
Build high level dashboards
Analyze large datasets, and provide useful actionable recommendations

We are looking for a Data Science Researcher.
What you will be doing:
Lead machine learning based projects from ideation, through research, evaluation, production implementation and monitoring.
Conduct independent applied research and innovation in new content and technological domains.
Truly understand data and draw practical conclusions from it.
Work with engineers, designers and product managers to produce new initiatives and improvement ideas.
Keep abreast of new research developments in academia and expose them to all team members and stakeholders.

Were looking for a talented IT Software Developer to join our IT Department - Business Applications Team.
Someone who has a passion for Web development as well as UI/UX. Who has a desire to work in an enterprise and global environment.
In this position you will use your expertise in developing internal systems, and will be working closely with IT & Ops Managers, Finance, HR, business owners, designers and other development teams to gather new requirements and implement new features.
What you will be doing:
Brainstorming feature design, system architecture and troubleshooting.
Writing clean, maintainable and testable code, and inspiring others to do the same.
Full ownership of the technology stack including infrastructure and production-readiness of key systems.
Identifying and implementing software engineering best practices.
Work with CI/CD pipelines to deliver frequent and high quality features.
Applying best practices of resilience and observability

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.

We are looking for a motivated PL/SQL Developer with expertise in Angular 2+ to join our dynamic team.

The ideal candidate will play a key role in designing and developing applications for our largest client located in Jerusalem

***Temporary position for 6-7 months with an option to extend.

Who We're Looking For - The Dream Maker
We are looking for a hands-on data engineer who will build and develop the entire data engineering capabilities and infrastructure, from scratch. This role will possess a combination of technical expertise, problem-solving skills, and strong communication abilities. It will interface with all the departments of our rapidly growing organization in this transformative period.
Your Arena Data Standardization : Make sure that data is standardized, and manage efforts on that initiative (including past data), create a live documentation for the existing data schema (main entities + each field), ensure that data schema is consistent and participate in design reviews that involve database design, oversee the adoption of a common data access layer for our main DB entities (disputes, customer data, integrations, billing), add and maintain a validation processes ayer to prevent divergence from schema and closed set of value Data Correctness & Integrity : Set up processes to ensure data correctness, validity based on business requirements, processes to detect data duplication in our database, and take actions to remediate this with the business stakeholders Data Optimization and Operations : Monitor and Operate DB Performance, manage indices, alerts, scaling on a daily basis Data Engineering technologies and roadmap : Analyze and choose the right database and related technologies for our evolving needs including data warehouses, data lakes, graph database, relational and non-relational databases and ETL tools. Be a knowledgable source to consult on DB design, optimization and operations for our existing and future DB technologies: Mongodb, dynamodb, rockset, postgres, snowflake. Oversee ETL, ELT processes that are used in the company, both inside R&D and in other departments (R&D, Opertations, Marketing), using AWS Glue, HighTouch, Airbyte. Design data tiering practices to find the tradeoffs for cost/performance/flexibility/query Data Security, Access control and regulation : Support our efforts to map out PII data in our database and limit access to it, Implement encryption at rest and other practices to protect our databases, Execute data deletion tasks like removal of personal data, customer(shop/account) data as part of our SOC2/GDPR compliance Business Intelligence : Choose and configure a BI system that makes all of our data accessible in a single system to various stakeholders and departments in the company (R&D, Product, Operations, Finance, Sales, Marketing, Customer Success, etc.). Create ad-hoc and periodic reports & dashboards for stakeholder, on demand.