We are looking for a Lead AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities. Work as a Forward Deployed Engineer, ...
... 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 ...
... 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 ...
... data engineering and data modelingPalantir Foundry expertise with hands-on development experienceProficiency in PySpark and Python programmingExperience with data connection for APIs and external transformsKnowledge of data quality principles and ontology designProficiency in English at a B2+ level Nice to have Experience ...
... 3 years in a Consulting role leading Data Management & Governance initiativesDeep practical subject matter expertise in at least 2-3 of the following areas: Data Governance Operating model & Policies, Data Quality, Master Data Management, Metadata Management & Data Cataloging, Data Lineage, Data ComplianceUnderstanding ...
... analityki, MLOps i AI oraz rekomendowanie kierunków rozwoju. Nasze wymagania - Minimum 3 lata doświadczenia w obszarze platform analitycznych, platform danych, MLOps, data science lub pokrewnym. - Bardzo dobrej znajomości SQL i Pythona. - Znajomości zagadnień MLOps, w tym wersjonowania, monitorowania, dokumentowania i odtwarzalności ...
... thematic reporting outputs. - Understanding of data quality, data lineage and data governance principles within regulated environments. - Experience correlating data across multiple systems and functions to identify linked financial crime indicators. - Ability to translate operational data into strategic intelligence outputs ...
... enrich and analyze enterprise data. The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making. You will support ...
... responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry. Your responsibilities, Component Upgrades in Front Arena space, Refining the decoupling legacy ...
... 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 ...
... technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions. Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing. Knowledge of data quality, governance, cataloguing ...
... Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event streams) Perform data transformation, validation, and quality checks across end‑to‑end ...
... certifications and relevant professional training will be considered an advantage. - Strong analytical and problem-solving skills, with the ability to translate quality data into effective corrective and improvement actions. - Results-oriented mindset combined with a strong focus on quality, operational excellence, and continuous ...
... (libraries such as pandas, numpy, scikit-learn, statsmodels or similar) – focus on data analysis, modeling, and result validation Experience working with large datasets and ETL processes Ability to work with business data and interpret analytical results Attention to code quality and reproducibility of analyses Ability to ...
... balancing speed, quality, and long-term maintainability. Strong product thinking/product engineering mindset. You don’t just build tables, you understand how data drives decisions for customers and why a brand needs this data. Experience with Infrastructure as Code (Terraform or CDK.) MLOps experience is a plus You might ...
... Data Analyst Responsibilities: • Participate in data and finance-related projects delivered on cloud platforms • Support data validation and ensure delivered data meets business quality expectations • Contribute to data modeling activities (e.g. logical and dimensional models) • Analyze financial datasets and support definition ...
... across three key areas: Building Core Data Infrastructure - designing scalable data integration layers, pipelines, data models, and data warehouses. Developing Data-Driven Solutions - creating backend logic and data-focused applications that support business processes and decision-making. Connecting Data with AI - preparing ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... processes, automation, and data quality controls Provide production support for data processing and integration-related issues Requirements: Hands-on experience with DataStage and Python for data transformation and ETL development Strong experience working with Oracle SQL Experience integrating and processing data from Kafka, XML, ...
... 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). ...