... clean, curated, analytics-ready data. Performance Optimization: Analyze and optimize Spark/pipeline workloads for performance, scalability, and reliability. Data Governance: Implement RBAC, data classification, and lineage tracking to ensure compliance and audit readiness. Team Leadership: Mentor and guide data engineers, ...
... ReactJS and TypeScript is a strong bonus. What you’ll do Technical Leadership - Lead design and architecture of complex backend systems, distributed services, and mission-critical APIs. - Define coding standards, enforce code quality, and conduct thorough code reviews. - Own end-to-end delivery, from technical feasibility ...
... responsibilities You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and ...
... required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency. 10+ years of experience in Data Warehouse related projects and implementing multiple end-to-end DW projects in Big Data environment Experience of building data pipelines through Spark with Scala/Python/Java ...
... We are looking for an experienced and highly skilled Lead Data Scientist with 8–13 years of experience to lead the development and implementation of advanced data science and machine learning solutions. The ideal candidate will have strong expertise in Data Science using Python, Machine Learning, and Deep Learning , along ...
... access, controls, metadata, lineage and quality, and define requirements for scalable data governance agents that enforce and measure them. - Partner with business leaders and cross-functional teams to align governance with business priorities, industry standards and regulatory requirements, and embed governance and data quality ...
... agreements with vendors. - Monitor vendor performance, including quality, delivery, responsiveness, and adherence to agreed terms. - Maintain an updated vendor database, contracts, pricing information, and procurement records. - Coordinate with internal departments to understand procurement requirements and ensure timely ...
... Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build analysis in Python with accompanying ...
... Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build analysis in Python with accompanying ...
... Corporate Management teams . Represent Howell professionally during client meetings, presentations and networking opportunities. Understand client requirements and coordinate internally with Pre-Sales, Technical, Projects and Commercial teams to develop appropriate solutions. Generate qualified leads and maintain a healthy ...
Offi ce Assistant for Head and FIN Head of Projects and Services Execution (PSE) APAC This joint office assistant role provides high-level administrative and strategic support to senior executives, ensuring efficient management of schedules, communications, meetings, and business priorities to two (2) leaders in the Projects ...
... goals (SDGs), ensuring that projects align with regulatory standards and deliver measurable environmental and social impact. Key Responsibilities: 1. ESG Strategy and Integration: - Develop and implement ESG strategies across carbon credit projects. - Ensure projects comply with Carbon credits standards and methodologies (VCS, ...
... majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation. Delivery Lead Experience Level Private Markets Delivery Manager We are seeking a detail-oriented and proactive Tax Compliance & Reporting Specialist to manage Australian tax compliance, investor reporting, and tax ...
... large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on experience using industry best practices for standards and methodologies. Hands-on experience withUnix Shell Scripting. Strong analytical skills for ...
... extensive, hands-on experience in migrating client data from legacy Policy systems to Guidewire PolicyCenter . This role demands precision, scalability thinking, and deep domain knowledge to ensure seamless migration within enterprise-grade insurance transformations. Key Responsibilities Lead end-to-end data migration activities ...
... continuous learning and responsible use of data. Key Responsibilities Lead data science projects from problem definition through analysis, modelling, implementation and evaluation. Define appropriate statistical, mathematical and machine learning approaches for complex business problems. Lead data exploration, cleaning, transformation ...
... basis to ensure milestones meet timelines and quality deliverables. Establish strong communications with Data Operations team, functional leads, project managers and all other stakeholders. With minimal guidance, support DM service delivery with comprehensive DM process and technical expertise in executing projects. Serve ...
As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, ...
... that fit the data and the decision they support. Quality-check the team's work and guide models to production through cross-team collaboration. Lead project delivery across timelines, scope and team allocation, often across parallel engagements. Mentor and manage a team of data scientists, and keep yourself and the team ...
... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...