... squads. Your day-to-day mission: · Coach teams in Agile principles, practices and metrics · Collaborate with the Product Owners to manage backlogs - with good data quality - and realign priorities if needed. · Identify and support in resolving team impediments · Facilitating squad ceremonies to support/develop/improve squad ...
An IT solutions provider in Warsaw is seeking an Informatica MDM Developer responsible for designing, developing, and implementing Master Data Management solutions. Key responsibilities include data integration, quality management, and collaboration with stakeholders to ensure solutions meet business needs. The ideal candidate ...
... związanym z projektowaniem i rozwojem Cloud Data Platform dla sektora ubezpieczeniowego. Wykorzystywane technologie i narzędzia w projekcie: Microsoft Azure, Azure Data Factory, Databricks, Data Lake, Event Hub, SQL, CI/CD, DevOps, Medallion Architecture, Data Governance, pełnienie roli Architekta Danych / Tech Leada odpowiedzialnego ...
HeadHR w Warszawie poszukuje specjalisty w obszarze Consulting IT, który zajmie się rozwojem funkcjonalności AI oraz optymalizacją kodu PySpark i Python. Wymagana jest biegła znajomość PySpark, Python, SQL, oraz doświadczenie w Generative AI i pracy z chmurą Azure.
... data pipelines, warehousing, and BI reporting. You will collaborate with Data Engineers, BI Developers, and stakeholders to ensure quality, trusted, scalable data-driven insights. Key tasks include driving testing standards, integrating tests into CI/CD, and supporting data transformations and business rules validation ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Big Data technologies for effective data ingestion Process and transform data using tools such as Spark and various Cloud Services Understand ...
... efficiency in Azure and Databricks environments. Collaborate with cross-functional teams (data engineers, data scientists, and cloud architects) to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem, including data lakes, AI/ML frameworks, reporting systems, and data catalogs (e.g., ...
... Inbound and Internal processes with VAS, Quality Inspections and EGR, Wave Management, Physical Inventory, Posting Changes - Proficiency in creation of Master Data i.e. Packaging Specifications, Warehouse Organizational Structure, Settings for Handling Units etc. Must have sound knowledge and experience in configuring/modifying ...
... opportunity into a customer engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
Veeam is seeking a Customer Success Engineer to lead onboarding, adoption, and optimization across the Veeam Data Platform. You’ll be the primary technical owner driving long-term customer outcomes, including DR/R simulations, resilience reporting, and migrations. You’ll collaborate with CISO/CIO stakeholders, shape adoption ...
... oraz procesów CI/CD, umiejętność tworzenia dokumentacji technicznej, doświadczenie w pracy w metodykach Agile. Mile widziane: Dataform, doświadczenie w budowie hurtowni danych, Angular, platformy Low-Code/No-Code, doświadczenie w środowisku produkcyjnym lub przemysłowym, znajomość zagadnień Data Governance i Data Quality.
As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines. You will own the end-to-end lifecycle of high-quality data acquisition, annotation ...
... Migration Architect / Data Architect / GCP Data Architect., Udokumentowane doświadczenie w realizacji dużych migracji danych do BigQuery., Bardzo dobra znajomość Teradata – wymagane., Doświadczenie w projektowaniu i realizacji strategii Cloud Database, Data Lake oraz end-to-end data migration., Praktyczna znajomość Databricks i ...
... posiadanego doświadczenia i kompetencji. Sprawdzisz się w tej roli, jeżeli: - Bardzo dobrze znasz SQL - Posiadasz doświadczenie w pracy z dbt oraz środowiskami Data Warehouse - Posiadasz doświadczenie z Snowflake i/lub Snowpark - Posiadasz doświadczenie w pracy z produkcyjnymi procesami danych, ich monitoringiem i optymalizacją ...
... effectively in distributed, multicultural project teams. Nice to have: - Experience with Azure Data Factory, Synapse Analytics, Azure Functions or other Azure data services. - Experience with Power BI or semantic modelling. - Experience delivering data warehouses, lakehouses, chatbots or AI-enabled data solutions. - Knowledge ...
... Active Metadata ecosystem. Leveraging the full power of the Databricks Lakehouse (Unity Catalog, Serverless, SQL Warehouses, Genie, etc.), you will define how metadata flows across our environment to drive automation, security, and effortless data discoverability. Your goal is to ensure that our global data estate is not just ...
... Power BI across multiple data pillars. Migrate master reference tables into a central Master Data Management (MDM) system. Design and implement a comprehensive data quality framework throughout the data pipeline. Automate data delivery processes for manually loaded data sources. Migrate data sources to a full raw data model ...
... more scalable, reliable, and cost-efficient. - Power AI initiatives: Lay solid data engineering foundations that enable AI data products. - Design and maintain data pipelines: Build robust processes to ingest data from multiple sources and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts ...
... with public cloud providers AWS/Azure. - Database Technologies: Knowledge of SQL and NoSQL databases. - Expertise in Big Data Technologies: Familiarity with big data frameworks and tools like Spark, Kafka, Flink or others, formats such as Apache Iceberg. - Data Modeling and Warehousing: Familiarity with data modeling and warehousing ...