The Healthcare Data & Business Consultant will lead consulting engagements in healthcare focusing on data engineering and modernization, translating business needs into data-driven solutions, managing healthcare data, and enabling data modernization and cloud platforms.

Design and maintain scalable data pipelines in enterprise-scale data warehousing projects using GCP and Python frameworks.

The GCP Engineer will develop and deliver data pipelines on GCP, utilizing Python, Java, and various tools for data ingestion and real-time streaming, while ensuring data quality and effective communication with clients.

Develop and maintain an AWS Lex based chatbot workflow and integration with backend systems using API, along with Jenkins for DevOps.

The AWS Data Engineer will work on designing and building cloud-based solutions, utilizing AWS services, and integrating systems for clients. Requires experience with various AWS tools and Java development.

The ETL Testing Engineer is responsible for designing, executing, and automating test cases for data quality assurance in ETL processes, ensuring accuracy and integrity of data with a focus on collaboration and continuous improvement.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.

This role involves planning and designing Azure infrastructure, developing cloud solutions, mentoring teams, and ensuring cloud security and compliance.

Responsible for architecting and developing full stack enterprise applications, collaborating with multiple teams, and mentoring junior engineers.

Drive strategic RGM initiatives to enhance growth and profitability for clients, utilizing data analytics and commercial strategy.

Lead and deliver Route to Market Analytics consulting projects for CPG and Retail clients, developing analytics strategy and building client relationships to drive growth.

The role involves implementing SAP Analytics Cloud projects, collaborating with clients, and leveraging technical and functional expertise to deliver BI solutions.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

As a Fullstack Engineer, you'll manage backend and frontend projects, integrate algorithms, create user-friendly infographics, and troubleshoot issues.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.

The Data Steward ensures data governance and quality by developing solutions, creating data metrics, conducting profiling, and collaborating with stakeholders to maintain data integrity.

The Senior Fullstack Engineer will develop and maintain backend and frontend for enterprise applications, integrate algorithms with APIs, guide junior engineers, and troubleshoot issues, emphasizing collaboration with business stakeholders.

The GCP Engineer will design, build, and operate scalable analytics platforms using Google Cloud, ensuring implementation aligns with innovation strategies and collaborates globally to solve technical challenges.

The Fullstack Engineer will develop and maintain enterprise web applications, integrating data science algorithms, collaborating with teams, and ensuring performance optimization.