Sql developer állások, munkák VIII. kerületben

• Preparing business concept and business strategy
• Reviewing, analyzing and evaluating business systems, user requirements and processes
• Defining business goals and KPIs
• Cooperating with developer and testing team, participating in User Acceptance Testing

• Preparing business concept and business strategy
• Reviewing, analyzing and evaluating business systems, user requirements and processes
• Defining business goals and KPIs
• Cooperating with developer and testing team, participating in User Acceptance Testing

• 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 reusable, testable, and efficient code, mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Being a magician of integration of data storage solutions
• Handling security and data protection professionally and precisely

• 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

Designing and building the next generation of the single-security analytical modeling platform using C++23 and Python 3, collaborating with colleagues across Europe, India, and the United States...

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to ensure all Business Intelligence activities support successful contract delivery...

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Developing LLM-powered applications, including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Technically managing a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• 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

• 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

• Analyzing and understanding business, functional and technical requirements and working with stakeholders to clarify acceptance criteria
• Coordinating testing activities within a Scrum Software Development Team and contributing to the further development of the overall test strategy

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Designing and maintaining automated deployment pipelines
• Supporting and operating Kubernetes-based platforms and containerized workloads
• Managing infrastructure provisioning and configuration using Terraform
• Deploying and supporting Apache Kafka environments

• Performing adds, deletes, changes to the program within the agreed SLA
• Supporting assets and contract management by administrating entitlements and program statuses
• Setting and/or maintaining customer accounts
• Taking part in inventory management by maintaining the database and validating data

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks