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 ...
... your go-to language. You write clean, object-oriented code (classes, clean functions, and unit tests) and feel confident navigating and understanding large, complex repositories. Strong Data Science foundations - You have a deep understanding of statistics and machine learning. You know how to choose the right models, evaluate ...
... Krakow to drive a major enterprise cloud consolidation onto a modern GCP & Medallion (Bronze/Silver/Gold) architecture. If you thrive on handling genuinely complex data pipelines, event streaming, and laying the pipeline foundation for future ML & AI workloads, this is for you. What you’ll be doing: Pipeline Engineering: ...
... 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, ...
... with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment., Design and manage complex data transformations using Databricks, DBT, and Apache Airflow, ensuring data integrity and consistency., Translate business requirements into scalable and ...
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 ...
... purpose behind the requirements., Interact with Product Owners to clarify and translate business needs into concrete implementation specifications., Execute data mapping, data modeling, and comprehensive solution design., Design and implement near real-time data pipelines., Access complex, distributed datasets and perform ...
... 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 ...
... Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. - Ensure ...
... 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, ...
... build a more sustainable, more inclusive world. Your Team Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms ...
... our Data Scientists (f/m/d) help improve the gaming experience for our players. You’ll work hand-in-hand with product, design, and engineering teams to turn complex player data into deep analyses, experiments, and insights that shape what we build next. As a data enthusiast, you’ll translate business and product questions ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs). Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers. Managing complexity: Work at the intersection of business vision ...
... checks using Google Cloud Platform (BigQuery, Data Studio, Cloud Storage), Investigate data anomalies and plan proactive remediation activities, Perform ad-hoc data quality assessments, impact analysis, and anomaly detection, Analyse and identify patterns and trends in large, complex datasets, Communicate findings clearly ...
... Oracle SQL About the project, As a Senior Data Analyst, you will be working for our client, a leader in the financial sector dedicated to delivering seamless data-driven solutions that enhance operational efficiency and strategic insights. You will play a crucial role in implementing changes related to data transfer from ...
... Foundation Platform. You will contribute to the continuous evolution of our cloud-based data platform, ensuring scalability, reliability and performance across our data ecosystem. Your key responsibilities include Lead the technical implementation of complex features and services while improving architecture and reducing technical ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs)., Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers., Managing complexity: Work at the intersection of business vision ...