Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering ...
... will develop and maintain a data platform and reporting processes operating in a complex Big Data environment. Responsibilities: Design, develop and maintain Data Engineering solutions using Hadoop and Apache Spark. Build scalable solutions for processing large volumes of data. Analyse complex business requirements and ...
... analytical apps and projects; data preparation; identifying patterns from data by analyzing it; insights generation for real-life business challenges, using BI and Data Discovery tools; data visualization, preparation of BI dashboards; conducting unit tests; supporting in-app preparation and maintenance; ensuring data quality ...
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, ...
Job Description The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. Key Responsibilities: Assemble large complex data sets which meet functional ...
... tools like Azure DevOps and Git. Practical experience with Unity Catalog sharing and configurations. Nice to Haves: Background in consumer panel or tracking data. Experience with DAX in Power BI for complex analytics. Knowledge of Consumer Health or FMCG analytics. Familiarity with working with external data vendors and ...
... primarily in Spotfire. Translate complex scientific and analytical data into clear, intuitive, and actionable visualizations. Develop and maintain R and Python data functions for data preparation, statistical analysis, modeling, and advanced visualization. Apply data visualization and user-experience best practices to create ...
... integrate tools for monitoring, managing, alerting on, and improving database performance, Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities, Assemble large, complex datasets that meet functional and non-functional business requirements 5+ years of experience ...
Working as a Senior AWS Data Engineer you will: Design and build robust data ingestion pipelines leveraging SP-API and Data Kiosk. Lead the seamless integration and complex mapping of SAP data into the central cloud ecosystem. Develop, optimize, and maintain highly efficient ETL/ELT workflows using AWS Glue. Implement and ...
... cares about seeing their work used in real decisions. You’ll focus on understanding the problem, not just the numbers. You’ll lead your own projects, show how data can drive business and product decisions, and explain complex insights in a clear, practical way. Your work will have a real impact on the company, and we’ll ...
... reading. Your responsibilities, Design & Build, •Build and improve GCP data solutions using BigQuery, Cloud Composer, and Cloud Storage, •Build and maintain data pipelines and transformations with Python, dbt, and Airflow, •Model data across Data Warehouses, Lakehouses and Data Lakes within an established architecture, ...
We are looking for an experienced Data Engineer (Snowflake / SQL) to join a cross-functional technology team working on a modern data-driven platform supporting complex business processes within the life sciences sector. In this role, you will be responsible for building and maintaining reliable data solutions, working ...
... is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications What we’re after… · Passion for working with complex data sets and tackling quantitative problems · Experience in data analytics and data visualisation · Experience with Marketing analytics, Brand impact analysis, ...
... is seeking a data-driven Analyst to support our global compliance, regulatory and ethics program from our Warsaw office on a hybrid basis. You will transform complex data into actionable insights and play a key role in governance and risk reporting. Based in Warsaw, you will develop Power BI dashboards, perform data analysis, ...
... projects across industries such as power engineering, automotive, finance and more. Thrive on continuous advancement by engaging in diverse, complex solutions and data architecture challenges. Expand your skill set through collaboration with experts and exposure to modern concepts and architectures (e.g., data mesh, data virtualization, ...
... through data-led strategies. This role is responsible for driving insight-led targeting strategies, providing audience targeting recommendations, and Teads' data capabilities to both internal and external teams. You will be responsible for initiating new data solutions with local data partners and will also support the ...
... Terraform, Bicep About the project, At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500., We process massive, complex datasets, operate fully in the cloud ...
Poland, Warszawa
Zobacz ofertę
FALCK DIGITAL TECHNOLOGY POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIE...
... ensure consistent and sustainable data operations. Experience in HR data management, HRIS, data operations, or data migration, including hands-on experience with data loads and the extraction, cleansing, transformation, mapping, validation, and reconciliation of complex datasets., Strong SQL and advanced Excel skills, combined ...
... data. Key requirements: Bachelor’s degree or equivalent experience. Strong knowledge of Microsoft Dynamics 365 Finance & Operations. Experience with D365 F&O data management and migrations. Advanced SQL skills and experience with complex datasets. Understanding of D365 F&O data entities, legal entities and staging errors. ...