Sql developer állások XI. kerületben (adatrögzítő)

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

• 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

• 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

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...

• 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

• 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

• 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

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Designing, developing, and implementing complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Designing, building, and optimizing modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality