... 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 Data Software Engineering technologies for effective data ingestion Process and transform data using tools such as Spark, Databricks ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... accuracy, consistency, and quality of our material master data across systems. You will be part of material team responsible for maintaining high standards for data quality and contributing to the ongoing development of harmonized, efficient data management practices. - Master Data Management: Create, maintain, and update ...
... ground up, this hands-on program will equip you with the knowledge and practical experience to build intelligent data solutions. You’ll explore key areas such as: Data Integration, Data Visualization and Data Quality. By the end of the program, you’ll not only understand the full lifecycle of data products – you’ll be ready ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... efficient data models integrating multiple sources in the form of Data Hub defining patterns, templates, and best practices for data engineering establishing data governance, access policies, and security frameworks for data layer / Data Hubs ensuring efficient storage, retrieval, and processing of large-scale datasets ...
... Platforms, IoT, ML, Backend, Mobile, etc.)Profound knowledge of the technology's internals for at least 1 technology domainSolid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areasWide experience in design, ...
EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. In this intensive course, you will dive deep into statistics & data analysis, understand regression, classification and clustering techniques, as well as explore neural network basics. ...
... Responsibilities In this role, you will ensure our payroll data is pristine, compliant, and processed seamlessly. Your daily playground will involve: - Stakeholder Data Management: Coordinate and manage data inputs from various internal and external stakeholders, ensuring all submissions are timely and complete. - Data Validation ...
Dla naszego klienta - banku PKO PB poszukujemy ETL Develpera - mistrza Oracla :-) Forma współpracy: B2B Tryb pracy: hybrydowo (1xtydzień biuro Chmielna 89 Warszawa) lub zdalnie Wymagania • Umiejętność posługiwania się językami SQL, PLSQL, Transact-SQL • Doświadczenie w pracy na środowiskach/narzędziach Oracle •
... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... Cloud Architecture or Data Migration Strong hands-on experience with Google Cloud Platform and BigQuery Proven experience migrating enterprise platforms from Teradata Experience designing Data Warehouse and Data Lake architectures Practical knowledge of Databricks and Google Cloud Dataproc Strong SQL optimization and performance ...
... Vilhelmsen. Primary tasks and responsibilities include: - Participate and act as a technical mentor in the tech transformation of existing solutions from legacy Data Warehouse based on Netezza/Informatica to a Databricks based platform - Develop effective end-to-end data processing flows, including various data processing ...
... technicznej. • Współpraca z zespołami technicznymi i biznesowymi. • Udział w implementacji, testach oraz optymalizacji rozwiązań. Wymagania • Doświadczenie w Data Modelling oraz Solution Design. • Bardzo dobra znajomość Python. • Bardzo dobra znajomość SQL oraz relacyjnych baz danych (Oracle, PostgreSQL, MS SQL lub podobnych). ...
intent sp. z o.o. is looking for a Mobile Developer with extensive BLE experience to join our team on a freelance basis. You'll design and implement communication flows for connected devices, collaborating closely with firmware engineers and clients. We're fully remote, with a pet-friendly office in Warsaw. The position ...
TransferGo is seeking a Senior Cloud Data Engineer in Warsaw, Poland. Build and operate end-to-end data pipelines on a modern AWS stack (Redshift, S3, Lambda, IAM, Glue, Kinesis, ECS, ECR) using dbt and Airflow. Own infrastructure via CDK/CloudFormation/Terraform with strong emphasis on data quality and observability. You ...
... Important are technological curiosity, a practical approach, and the ability to learn quickly. Scope of responsibilities - Creating and developing features of mobile applications used by real users. - Developing shared business logic for mobile platforms, mainly using Kotlin Multiplatform (KMP). - Creating backend services ...