דרושים למשרות אטרקטיביות בתחום ה DATA

Collaborate to define, analyze, document the analytical and operational data needs, translate these needs into specifications and develop in a DWH environment processes.

Work in an agile environment and with cross-functional teams

Operate and troubleshoot existing data solutions.

Investigate issues proactively and as a response to request/ticket opening.

Provide remedy and resolution. think out of the box for maintaining and developing architecture sustainable environment define the requirements from a dashboards POV to a Database support

Create design documents that describe the functionality, capacity, architecture, and process.

Coordinate deployment to production.

we are looking for an expert machine learning engineer to help us grow and expand our current capabilities to the next level.  You will join a team of extremely talented and dedicated group of ML Engineers working to support A leading financial company's Data Lab efforts to continuously deliver quality predictive models to support strategic business processes and decisions.

You will:

• Be the full owner our model pipeline standardization code (Python based)
• Be the Python ‘goto’ for the ML engineers and Data Scientists
• Conduct code review sessions to ensure standard production grade code prior to deployment to production
• Conduct research on innovative solutions and alternatives to enhance current pipeline and model’s performance

End-To-End responsibility for Data Engineer/Science Projects from requirements, through proof-of-concept to design and production code.

• ניטור וניתוח של דאטה פיננסית ותוצאות עסקיות
• איסוף נתונים ממגוון מערכות, עיבוד נתונים וניתוחי עומק
• אפיון ובניית דוחות ודשבורדים
• תירגום תוצאות עסקיות לתובנות והצעות ערך תוך מציאת קשרים ומגמות לצורך סיוע בתהליכי קבלת החלטות

A large and successful organization is looking for SAP BW implementation /developer Responsibilities: • Shaping and hands-on implementation of BW modeling solutions and architecture on SAP • Develop sap Bw & hana • Defining solutions according to user requirements and business analysts • production deployments with cross-team integrations and system upgrades preparation