... join a project focused on building a modern reporting and data platform. You will work with multiple data sources and systems, integrating them into a central data warehouse and enabling business teams to access data via Power BI. The role requires 5+ years in Data Engineering, strong SQL and data warehouse skills, and hands-on ...
... job done designing and implementing data models and architectures that support financial data management developing and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databases ensuring data quality, security, and compliance with ...
... Wrocławiu Stawka: do 130 zł/h netto na b2b Poszukujemy doświadczonego Project Managera do projektu związanego ze zmianą zasilania hurtowni danych oraz Cloud Data Lake danymi z nowo utworzonych domen biznesowych. Kluczowe jest doświadczenie w projektach migracji danych oraz budowy i zasilania hurtowni danych/CDL. Zakres ...
... You’ll Do: Build and optimize scalable cloud-based data pipelines, Design reliable data models and establish trusted business metrics, Develop high-performance data platforms and serverless APIs, Integrate new data sources and improve existing data infrastructure, Shape technical architecture and drive continuous platform ...
... 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 ...
... stakeholders. Main Responsibilities Design, build, and maintain scalable data pipelines for internal banking systems and external data providers. Develop and optimize data models for corporate lending domains, including loan origination and repayment history. Implement data quality checks, validation rules, and data lineage. Manage ...
... and execute automated test solutions for ETL and data integration processes - Validate data ingestion, transformation, and loading processes across multiple data sources - Develop and maintain test automation frameworks for data platforms - Create and execute test cases for Azure Databricks and Azure Data Factory pipelines ...
... 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 ...
130 - 160 zł / stawka godzinowa
Forma współpracy: Kontrakt B2B z IT LeasingTeam. Długofalowy kontrakt z gwarancją rozwoju w zespole wybitnych ekspertów technicznych, Tryb pracy: W pełni zdalny
Zasugerowane
Stawka godzinowa
Praca zdalna
... Define and document data collection and governance processes, Act as a data owner for selected DORA ROI data domains during BAU operations, Monitor and improve data quality, completeness, and accuracy, Support regulatory reporting, audits, and continuous process improvements Experience in Data Analysis, Data Management, or ...
Expected, SQL, Google Analytics, BI tools Optional, Python, Databricks Operating system, Windows, macOS About the project, As a Data Analyst focusing on Digital Commerce you will empower the Digital Business Department to make impactful, data-driven decisions ...
... validate business requirements for reporting and analytics solutions. Analyze, profile, and model data sources (logical/physical). Write SQL queries to support data analysis and integrations. Define and document data product specifications. Support testing activities (SIT, UAT) and ensure data quality. Troubleshoot data issues ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... 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 ...
... Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive), necessary to carry out the recruitment process by Accenture. ...
... 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 ...
... and maintain scalable data pipelines and data solutions. Work extensively with Snowflake and SQL to transform, integrate and manage data. Develop and optimize data processing workflows to ensure performance, reliability and data quality. Integrate data from multiple sources and support efficient data flows across systems. ...
... systems, data governance and data management processes. - Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. - Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Iceberg, Kafka, and CI/CD. - Excellent understanding of dimensional data and data modeling techniques. ...
... revenue impact and collaborate with some of the world’s largest AI companies. Responsibilities: Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata. Map customer requirements to our existing metadata and apply data modelling ...