Data állások XXIII. kerületben (adatbázisszakértő)

• 3-5+ overall working experience with at least 2+ years of relevant work experience 
• Experience in analytics, commercial performance, finance, or business analysis roles. 
• Exposure to retail, FMCG, aviation, or consumer-facing industries is an advantage.  

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

• Adatbázisok magas rendelkezésre állásának biztosítása, monitoring rendszerből érkező riasztások/hibák kezelése
• Oracle DB 11g - 19c Real Application Cluster üzemeltetése és DBA feladatok ellátása
• Adatbázis mentések kialakítása, karbantartása, mentések ellenőrzése, visszatöltési tesztek elvégzése

Creation of Python code, tests, and modification of GitHub Action CI/CD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems as part of platform engineering Delivering and scaling AI solutions embedded in cross-functional teams Deploying...

Designing predictive models Conducting large-scale experiments Uncovering insights that inform decision-making Defining and developing ontologies and knowledge graphs Establishing data standards and maintaining data quality Operationalizing models and graph services at scale Delivering and scaling...

Organize meetings and follow up tasks Configure and test data migration Create and update documentation Support the IT master data team to keep current processes related to engineering changes, material master with variant management, bill of material, etc. running in a central SAP S/4 HANA system...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation. Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability. Contribute to ongoing platform modernization efforts across...

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

Provides timely and effective technical support to internal customers to troubleshoot issues and minimize down time for the end user community Assist in maintenance, testing, and updates of the Company’s worldwide financial close and consolidation system (Oracle EPM Cloud FCCS) and planning &...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Coordinating data & analytics project deliveries Coordinating the work of other team members Leading architecture definition and data modelling Participating in implementation work Ensuring solutions are created with high quality Customer communication and demand management Driving the project to...

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team setup, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS...

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...