Data Scientist
... and business teams, and other data community members General requirements Education – Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, ...
... and business teams, and other data community members General requirements Education – Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, ...
... 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 ... Cassandra and MongoDB Proficiency in data warehousing solutions, ETL processes Proven ...
... looking for an experienced Senior Data Engineer to join our team ... , and Redshift to ensure efficient data orchestration, batch stream processing, and ... of structured and semi-structured data. Experience with DBT is a ...
... volumes of structured and unstructured data. Building data pipelines to ingest data from various sources such as ... familiarity with other cloud technologies, data warehouses, data governance, and business analysis is ...
... IT or a numerate subject; Master’s degree preferred. Strong theoretical and ... . Preferable knowledge of banking risk data, systems, and risk models. WHY ...
... in Computer Science, Information Technology, Data Analytics, or a related field; a Master’s degree is a plus. Experience : ...
... self-service tools that streamline data onboarding and make it more ... Responsibilities: Design, build, and maintain data pipelines using Python Collaborate with an international team to develop scalable data solutions Conduct in-depth analysis ...
... for candidates with strong data skills, particularly with experience in ... role in driving our data and reporting capabilities to the ... complex queries; be a data access optimization guru Be an advocate for data governance, security, privacy, quality and ...
... datasets, Python scripting (e.g., data frames, pandas, yarrow), and familiarity with data analysis tools like Jupyter notebooks, ... expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization ...
... build and maintain the data structures required in the analysis, such as data warehouses, data lakes, etc. English is our ... tools to develop data visualizations dashboards to track business ... stakeholders Build and maintain data pipelines on a variety of ...