Create and maintain ELT/ETL processes for existing and new systems. Collaborate with development and business teams to understand requirements and define source system data flows. Develop and maintain ETL/ETL specifications for data integration development. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques. Document, implement and maintain the data pipeline architecture and related business processes.

Build and maintain a scalable data platform that supports multiple business functions, including engineering, legal, sales, marketing, and governance. This platform enables real-time and batch data processing, ensuring high data quality and compliance with privacy regulations.

The Cloud Data Integration Engineer will lead the design, development, and delivery of data management projects using Informatica Cloud (IDMC). This position architects and implements scalable data management solutions, ensuring data quality, consistency, and governance in the cloud environment. Responsibilities include designing MDM solutions, implementing IDQ rules, and optimizing ETL processes.

Work with Fortune 500 customers to integrate their complex data estates to maximise their value with Atlan. Guide customers through complex implementations, providing expert consultation on best practices and optimal approaches. Create seamless connections between various data systems.

The Solutions Engineer works closely with customers to ensure they get the most value from the entire Allium platform. This role is technical, customer-facing, and involves designing custom solutions to meet specific blockchain data needs. Responsibilities include engaging with customers, designing tailored data analytics solutions, and offering technical support.

As the Product Analytics Lead at Vanta, you will lay the foundation for a best-in-class Business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. You'll define the analytics practice for our Product Analytics efforts.

As a Data Scientist, you will work closely with internal teams and external stakeholders to understand their challenges and deliver data-driven solutions. You'll analyze data, deploy machine learning models, and collaborate with teams to convert data into actionable strategies, influencing real-world decisions and optimizing business practices.

Join ClinChoice and be part of making a difference in peoples’ lives by creating tables, listings and figures for clinical study reports, creating or QC SDTM/ADaM datasets, and managing the preparation, execution, reporting and documentation of projects within a Programming group.

You will work with an ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.

You will play a crucial role in developing the team’s visualization capability, design end to end reporting solution sufficing business needs, build data models sourcing data from various data sources, implement writeback capabilities in the reporting tool leveraging various automation tools, leverage technology to automate manual tasks and reporting needs.