... Technology: Translate business requirements into data needs, defining data models and setting standards for data providers. Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a wide ...
... cross-functional teams including data engineers, data scientists, and business analysts to deliver integrated data solutions prototype and coordinate data visualizations Which skills should you ... cross-functional teams fluent in English: verbal and written ...
... Responsibilities will include: Work with data engineers & analysts to problem solve, build & deliver data products from ideation to production. Lead and own the full lifecycle of data engineering deliverables. Deliver complex data flows to process external ...
... scalable applications for reporting and data analytics. Contribute to designing optimised data solutions and data product. Own and document data pipelines, monitoring, data accuracy, SLAs and data lineage. What youll need: Bachelor ...
... transition into the Big Data domain. Good knowledge of SQL ... jobs in Databricks or data connections and update policies in Azure Data Explorer. Petabyte-scale data platform migration to Google Cloud ... performance of the data platform by transitioning over a ...
... tools and platforms. Data Pipeline Development : Create, maintain, and optimize data pipelines using SQL, dbt , and ... in dbt and data modeling concepts. Strong Python skills, ... -impact, large-scale data projects. Collaboration with talented professionals ...
... and development of whole GCP data ecosystem for one of our ... contact with clients. Modelling the data from various sources and technologies. ... with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to ...
... commercial experience in Big Data proven record with a selected ... in Databricks or data connections and update policies in Azure Data Explorer. Petabyte-scale data platform migration to Google Cloud ... performance of the data platform by transitioning over a ...
... with cross-functional teams including data scientists, analysts, and business stakeholders to understand ... familiarity with other cloud technologies, data warehouses, data governance, and business analysis is ...
... scalable, efficient, automated processes for data analysis, data model development, validation, and implementation, working closely with analysts data scientists to understand impact to the downstream data models, writing efficient and well ...