... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...
... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...
... more product deployments of big data technologies – Business Data Lake, NoSQL databases etc - Awareness and decision-making ability to choose among various big data, NoSQL, analytics tools and technologies - Should have experience in architecting and implementing domain centric big data solutions - At MakeMyTrip, we're committed ...
... clients and each other. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Deploy data collectors in Adverity to gather data from media, agency system, and other sources ~ Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they ...
Key Responsibilities: Design and implement ELT processes for diverse data sources, including RDBMS, NoSQL databases, and data warehouses Develop and maintain scalable data pipelines for batch and stream processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data ...
As a Data Centre Provisioning Engineer, you will be responsible for supporting the deployment, activation, and operational excellence of hyperscale data centre network infrastructure. You will collaborate with cross-functional teams and external partners to ensure seamless provisioning, troubleshooting, and optimization ...
As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...
... Solutions Architect - Data Engineering based in India. This is a senior, client-facing opportunity for a technical leader who can transform complex business and data challenges into scalable, production-ready solutions. You will lead architecture and delivery across modern Data & AI platforms while partnering directly with ...
... techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures to include all data relevant for building robust analytic systems. Data Quality Assurance: Analysis & Automation: Perform ad-hoc analysis, ...
... https://jobeax.com/link/34bhrmqrKNaUPIfW Description :As a Member of the Data & Analytics team, youll work on transforming data from multiple sources into useful, consistent and easily consumable data elements. Youll strive to continuously improve the data lake and data warehouse and achieve our goals of a best-in-class data https://jobeax.com/link/APpiNK4veXFqKSBZ ...
Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, Dimensions Processing, formatting and presenting the data in accordance with global NIQ quality standards Prioritize, structure and deliver data processing (data table production, ...
... part of our expert team, you'll have the opportunity to ensure operational excellence that makes a real difference in organizational performance. As a Clinical Data Team Lead, you will act as the lead data manager for one or more projects or provide support to the lead data manager. You may lead all data management activities ...
... analysis including but not limited to data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks ...
... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...
Job Summary :We are looking for a Java/Scala Data Engineer with strong experience in backend development, distributed systems, messaging platforms, and data engineering. The role involves building scalable applications and data solutions using Java, Scala, Spring Boot, Kafka/MQ, and https://jobeax.com/link/ddHevVfGxaZZMFi7 ...
... to connect various data sources.- Schedule and monitor workflows using Apache Airflow to ensure timely data processing and delivery.- Troubleshoot and resolve data issues as they arise, ensuring data quality and integrity throughout the pipeline.- Document ETL processes, data models, and architecture to maintain clear and ...
... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...