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 ...
... 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 ...
... 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 ...
... w Rumunii oraz Wielkiej Brytanii. Posiadamy również własne R&D Center, które jest miejscem powstawania innowacyjnych projektów m.in.: w obszarach testów, Big Data, Cloud czy AI.W ramach naszych usług tworzymy szyte na miarę rozwiązania, utrzymujemy i rozwijamy nawet najbardziej wymagające systemy IT. Działamy w takich modelach ...
... be clear, efficient, and respectful of your time (HR+skill+confirming). THE WORK Support in building and maintaining cloud‑based data pipelines in Azure and Databricks. Assist in extracting, transforming, and integrating data from multiple data sources into central platforms. Apply knowledge of data modeling fundamentals, ...
... 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 ...
... reports of data flow and data quality metrics, operational statuses, and catalog operationsGuide implementation team efforts in integration and harmonization of data from different sources, construction of analytical data products (including real-time streaming analytical data products) on its basis within the data platform, ...
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. ...
... personal data the free flow of such data and the repeal of Directive 95/46 / EC (RODO) and in accordance with the Act of 10 May 2018 on the protection of personal data (Journal of Laws of 2018, item 1000). I provided my personal data voluntarily and I declare that they are truthful. I have the right to withdraw this consent ...
... 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 ...
... Dataflow (scio). We are looking for people who: Are programming in languages such as Scala or Java, Python Have strong understanding of distributed systems, data storage and processing framework like dbt, Spark or Apache Beam Have knowledge of GCP (especially Dataproc, Dataflow and Composer) or other public cloud environments ...
About the role As a Junior Database Administrator, you will join the team responsible for building, running, and developing Linux Server-based Oracle Database Systems. For this purpose, they carry out regular maintenance work and ensure integrity and availability, plan and run backups and recovery procedures. As a member ...
... Overview of the Role As a Senior Azure Databricks Data Engineer at HCLTech, you will play a pivotal role in designing, developing, and optimizing large-scale data platforms and modern data pipelines on Microsoft Azure. This position is critical for advancing our enterprise data analytics, reporting, and business intelligence ...
... 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). ...
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 ...
... experienced Data Engineer to join a data platform team delivering modern data solutions within a cloud-based ecosystem. You will be responsible for building scalable data pipelines and supporting analytics capabilities using Azure and Power BI technologies. This role combines data engineering with elements of cloud and BI, offering ...
... 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 ...