Python programozó állások, munkák adatbázisszakértő kategóriában

• Operation, maintenance and scaling of database platforms handling terabytes of data
• Design of scalable, reliable database architectures for different workloads and availability requirements
• Support and optimization of databases including PostgreSQL on AWS RDS, ClickHouse, and YugabyteDB

Daten verstehen und Mehrwert schaffen: Sie analysieren Daten aus Produktions-, Qualitäts-, Engineering- und Business-Systemen, entwickeln Datenmodelle und identifizieren im Team Optimierungspotenziale, Trends und Zusammenhänge für datenbasierte Entscheidungen....

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a vállalat új Data Lakehouse platformján
• Skálázható adatfeldolgozó folyamatok fejlesztése
• Adattranszformációk fejlesztése
• Adatfeldolgozó folyamatok optimalizálása

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Analyze current project, volume, and aggregate planning processes.
• Identify and evaluate existing data sources, interfaces, and planning methodologies.
• Research state-of-the-art approaches in forecasting, data analytics, machine learning, and artificial intelligence.

take responsibility as Tech Lead Search for the technical quality and architecture of our product retrieval and embedding capabilities based on OpenSearch....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines...

Where you belong: Where you belong: ...

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

Assisting in the construction of a shareholder-level database of video game franchises, including the collection and coding of ownership information from financial databases, corporate filings, and other publicly available sources...

• Conducting a comprehensive literature review of state-of-the-art end-to-end autonomous driving approaches and uncertainty estimation methods
• Evaluating and selecting suitable uncertainty estimation techniques for integration into end-to-end autonomous driving systems