Sql developer állások, munkák adatrögzítő kategóriában

• Configuration of the P&P platform end to end, across both frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• Design the behavioural telemetry event and entity-state schemas and write the instrumentation specification engineering builds against
• Own the measurement standard including canonical definitions, naming, field ownership, versioned change control across every business unit

• Design of behavioural telemetry including event and entity-state schemas and instrumentation specification
• Ownership of measurement standard including canonical definitions, naming, field ownership, and versioned change control

FLEXIBILITY- The times of punishments for coming 5 minutes late are gone. We have flexible home office policy as well!...

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Business and system analysis throughout the full feature lifecycle
• Analysis and mapping of processes across the trading stack including accounts, instruments, liquidity and execution, custody, settlement, and reconciliation

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team
• Data analysis to identify trends, patterns, and insights

• Power BI riportok és dashboardok fejlesztése és karbantartása
• Üzleti igények elemzése és technikai megvalósítása
• Adatmodellek és adatvizualizációk kialakítása
• PL/SQL alapú lekérdezések, tárolt eljárások és adattranszformációk fejlesztése
• Adatminőség és riportok validálása

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Üzleti igények elemzése
• Folyamatok tervezése az érintett területek bevonásával
• Üzleti követelmény specifikációk készítése
• Üzleti területek támogatása
• Kapcsolattartás az IT és üzleti területek között
• Üzleti tesztek koordinálása
• Teszt tervek készítése
• Projektekben való részvétel

• Primary interface between the Variable Marketing team and the Data Development Team
• Support of comprehensive management of FCSD Variable Marketing programs through data infrastructure development and optimization
• Analytical support to NSC Marketing teams for Variable Marketing program proposals

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Data ingestion processes from various sources into the Data Lake
• Design, development and optimization of complex data pipelines for reliable data flow
• Build, development and maintenance of frameworks facilitating construction of data pipelines