... 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. ...
... enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As a Senior Data Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge ...
... 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 ...
... 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 ...
... 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 ...
... considerations. - Experience with Databricks, Snowflake, Azure, AWS or other cloud‑based data platforms. - Strong understanding of data architecture, database design, data modeling and data management concepts. - Experience working with large‑scale datasets and complex data transformation. - Experience supporting data modernization, ...
... agentic ai, cloud computing and distributed processing and inferring potential impact on businesses (short and long-term) - Providing sophisticated technical expertise to maximize efficiency, reliability and value from current data engineering processes. Researching and supervising existing client base and industry developments ...
... Business while working closely with global stakeholders and business leaders. Qualifications for the role - Bachelor's or Master's degree in Information Technology, Data Analytics, Business Administration, Engineering, or a related field. - 5+ years of experience leading analytics, data, IT services, or business intelligence teams ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs)., Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers., Managing complexity: Work at the intersection of business vision ...
... position. Proficiency in SQL, Python, and various Data Visualization/BI tools. Hands-on experience with Process Mining (preferably Celonis EMS) Experience in Data Integration, Data Modeling, and Process Analytics. Expertise in process mining techniques, including query, dashboard, and data modeling. Working knowledge of ...
... and developing data pipelines for reliable and efficient data flows. Ensuring data availability and security in the central storage layer. Collaborating with data stakeholders to support data-driven initiatives. Implementing best practices in development, testing, and deployment. Optimizing use of AWS services for data ...
... relevant key performance indicators (KPIs), standard reports, and ad-hoc analyses based on our Customer Data Platform. You work in close coordination with our Data Engineering team to design the required analysis datasets. Process Automation: You transform manual queries and data preparation tasks into automated pipelines ...
... utrzymywanie Data Martów na platformie danych, - wsparcie użytkowników platformy danych. Nasze wymagania - doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, - doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, - bardzo ...
... na platformie danych, wsparciu użytkowników platformy danych. Jeśli jesteś osobą, która: posiada doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, posiada doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, ...
Obowiązki - prowadzenie regularnych audytów wewnętrznych z zakresu ochrony danych osobowych (w biurach oraz na halach produkcyjnych), - bieżąca aktualizacja i prowadzenie Rejestru Czynności Przetwarzania (RCP) oraz Rejestru Kategorii Czynności Przetwarzania (RKCP), - monitorowanie systemów informatycznych (IT) oraz
Wymagane, Databricks, Apache Spark, Data Built Tool, Snowflake, Python, Delta Lake, Apache Iceberg, HDFS (Hadoop Distributed File System) Mile widziane, Great Expectations, Deequ, ETF, Data Modeling O projekcie, Szukamy doświadczonego Data Engineer, który dołączy do zespołu zajmującego się inżynierią danych w dynamicznie ...
... AI-assisted development tools to enhance productivity in data engineering tasks like pipeline creation, code generation, and troubleshooting. - Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions. Our requirements - Very good knowledge of SQL: Expertise ...
... in data engineering tasks like pipeline creation, code generation, and troubleshooting., Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions. Very good knowledge of SQL: Expertise in querying, designing, and managing relational databases such as MySQL, ...
... związanych z jej wydajnością i niezawodnością. Nasze wymagania - min. 3 lata doświadczenia w obszarze Data Engineering, Data Warehousing lub rozwoju platform danych (Data Platform); - bardzo dobra znajomość języka SQL oraz doświadczenie w tworzeniu niezawodnych procesów ETL/ELT; - praktyczne doświadczenie z Azure Data Factory oraz ...