Sql állások VI. kerületben középiskolai végzettséggel

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

• Miben számítunk rád?
• Támogatod az adatvagyon gazdálkodási (Data Governance) és adatminőségi kezdeményezéseket
• Segítesz üzleti és technikai adatok összegyűjtésében, strukturálásában és elemzésében
• Közreműködsz adatleltárak, üzleti fogalomtárak és egyéb adatmenedzsment dokumentációk karbantartásában

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése, pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• Participating in backend and frontend development efforts where high-performance and speed play vital role
• Cooperating with product team including UX, UI, and Product management
• Building and coding backend in Node.JS and frontend in React in a complex web application

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Configuring the P&P platform end to end, across both frontend and backend
• Tuning and optimizing 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

Designing, developing, testing, documenting, and deploying high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Designing, developing, testing, documenting, and deploying high quality Salesforce solutions, leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Designing, building, reviewing, testing, and maintaining Ruby on Rails features and services in line with Diligent’s agile engineering practices...

• Learning the existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Proactively highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications, using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Developing, testing, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files)
• Writing high-quality, maintainable Python code and participating in code reviews

Designing, configuring, and implementing Identity Governance & Administration (IGA) solutions including joiner-mover-leaver lifecycle, access certification campaigns, role-based and attribute-based access control (RBAC/ABAC), and Segregation of Duties (SoD) controls...

• Analyzing consumer needs around menu, merchant and business performance to identify gaps and growth opportunities
• Using SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost, differentiating between a working query and an efficient one

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery