... pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams ...
... support Oracle-to-Apache Cassandra data migration activities, ensuring data integrity, consistency, and minimal disruption to business services. Own the Cassandra data-layer architecture and design supporting high-volume, real-time payment transaction processing. Take end-to-end responsibility for keyspace design, data modelling, ...
... security of organizational data assets. Metadata Management: Design and maintain metadata repositories, ensuring accurate and comprehensive documentation of data assets, including data definitions, lineage, and usage. Data Quality Management: Collaborate with data quality experts to implement data quality rules, validation ...
... responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various ...
... as GDPR or CCPA. - Performance Optimization: Monitoring and optimizing data processing and query performance, identifying and resolving bottlenecks to improve data retrieval and analysis efficiency. - Collaboration with Data Analysts and Scientists: Collaborating with data analysts and data scientists to understand their ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... credentials. Experience reviewing investment memos, research reports, valuation models, or financial recommendations. Familiarity with AI-assisted financial tools, data platforms, or quantitative research workflows. Experience mentoring analysts or contributing to financial training programs. Compensation Competitive compensation ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization ...
8+ years of experience in Teradata, Python, and Julia. Strong experience in data engineering and data analytics. Good knowledge of Provider domain. Experience working with Teradata databases. Strong Python skills for data processing and automation. Experience using Julia for analytics and modeling. Knowledge of building ...
... not a backend analytics role — this is a core product + innovation role . Key Responsibilities 1. Data Strategy & Architecture Design and implement end-to-end data systems for healthcare and wellness products Identify key data points across user behavior, health patterns, and outcomes Build scalable data pipelines and infrastructure ...
... Google Cloud Platform, Amazon AWS, Microsoft Azure) Familiarity and experience with common BI and data exploration tools (e.g. PowerBI, Looker, Tableau, etc.) Database Consultancy/Professional Services Background Data Analytics Experiences History in DBA / Database Engineering Database technology (in order of preference) ...
... seamless data integration, high data quality, and secure access while collaborating with stakeholders to translate business needs into efficient, cloud-optimized data solutions. Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL processes including database scripts, stored procedures, triggers, ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyze consumer ...
... restore testing. Execute recovery operations and point-in-time recovery, and take part in disaster recovery drills and documented failover exercises. Manage data movement activities including Data Pump exports and imports, non-production refreshes, and database cloning. Mentor junior engineers, review their work and raise ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong ...