and functions for efficient database operations, with a focus on query performance tuning and index optimization. • Design and implement data structures for OLTP and OLAP databases, ensuring consistency and adherence to database standards. • Collaborate with developers and project teams to define and implement database solutions that align with user requirements More ❯
development kits (APIs). Optimise performance, data storage and retrieval processes for efficiency and scalability. Ensure the data lake and OnlineAnalyticalProcessing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data acess. Ensure data quality, security, and compliance with industry standards. Requirements: Proven More ❯
development kits (APIs). Optimise performance, data storage and retrieval processes for efficiency and scalability. Ensure the data lake and OnlineAnalyticalProcessing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data acess. Ensure data quality, security, and compliance with industry standards. Requirements: Proven More ❯
development kits (APIs). Optimise performance, data storage and retrieval processes for efficiency and scalability. Ensure the data lake and OnlineAnalyticalProcessing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data acess. Ensure data quality, security, and compliance with industry standards. Requirements: Proven More ❯
implementation in AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimizing performance of the data lake as well as OLAP databases in a cross-region environment. Ensuring data More ❯
implementation in AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimizing performance of the data lake as well as OLAP databases in a cross-region environment. Ensuring data More ❯
implementation in AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimizing performance of the data lake as well as OLAP databases in a cross-region environment. Ensuring data More ❯
implementation in AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimizing performance of the data lake as well as OLAP databases in a cross-region environment. Ensuring data More ❯
scaling global data lakes, optimising performance, and ensuring data completeness and quality. You will also be responsible for modelling large volumes of data for OLAP databases to support tailored data solutions for Quants and Traders. Key Responsibilities: Build global and scalable Data Lakehouse solution used by multiple trading desks Contributing … the AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within the scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimising the performance of the data lake as well as OLAP databases in cross-region environment. Ideal Candidate More ❯
scaling global data lakes, optimising performance, and ensuring data completeness and quality. You will also be responsible for modelling large volumes of data for OLAP databases to support tailored data solutions for Quants and Traders. Key Responsibilities: Build global and scalable Data Lakehouse solution used by multiple trading desks Contributing … the AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within the scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimising the performance of the data lake as well as OLAP databases in cross-region environment. Ideal Candidate More ❯
scaling global data lakes, optimising performance, and ensuring data completeness and quality. You will also be responsible for modelling large volumes of data for OLAP databases to support tailored data solutions for Quants and Traders. Key Responsibilities: Build global and scalable Data Lakehouse solution used by multiple trading desks Contributing … the AWS cloud environment. Developing data pipelines in Python using data libraries and cloud SDKs. Data modelling within the scope of Data Lake and OLAP - large volumes and highly concurrent data access. Optimising the performance of the data lake as well as OLAP databases in cross-region environment. Ideal Candidate More ❯
ideal candidate will be skilled in statistical tools such as SPSS and Python, and capable of handling data from various sources-including relational databases, OLAP cubes, and public health information systems-to support clinical, epidemiological, and health policy decision-making. As our future Data Engineer, you will: Join an interdisciplinary … statistical analysis. Experience working with healthcare databases or clinical records. Basic knowledge of SQL for querying and extracting data from relational databases. Familiarity with OLAP cube systems (e.g., multidimensional cube navigation) is a plus. Strong analytical and critical thinking applied to healthcare data contexts. Good communication skills to collaborate with More ❯
ideal candidate will be skilled in statistical tools such as SPSS and Python, and capable of handling data from various sources-including relational databases, OLAP cubes, and public health information systems-to support clinical, epidemiological, and health policy decision-making. As our future Data Engineer, you will: Join an interdisciplinary … statistical analysis. Experience working with healthcare databases or clinical records. Basic knowledge of SQL for querying and extracting data from relational databases. Familiarity with OLAP cube systems (e.g., multidimensional cube navigation) is a plus. Strong analytical and critical thinking applied to healthcare data contexts. Good communication skills to collaborate with More ❯
