JOB DESCRIPTION Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Join Us as a Manager Clinical Data Management – Make an Impact at the Forefront of Innovation We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across ...
... integration solutions using Dell Boomi AtomSphere.- Develop and configure Boomi processes, integrations, APIs, connectors, and workflows.- Integrate applications, databases, APIs, and third-party systems.- Work with REST/SOAP APIs, JSON, XML, SFTP, and other integration protocols.- Perform data mapping, transformation, validation, ...
... Big Data Engineer to join our high-performing data platform team. In this role, you will be responsible for architecting, developing, and maintaining robust data pipelines that process massive datasets to fuel our analytical engines. You will work closely with cross-functional teams, including data scientists, product ...
JOB DESCRIPTION Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Join Us as a Clinical Data Manager Project Manager – Make an Impact at the Forefront of Innovation We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials ...
... requirements. Data & MongoDB - Analyze large datasets to identify relevant patterns and insights. - Use MongoDB to efficiently manage, manipulate, store, and retrieve data. - Support data workflows used for model training and validation. - Integrate data pipelines and preprocessing workflows to streamline training and inference ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
... data transformations. Reporting Enablement: Ensure the platform reliably feeds downstream BI tools (Power BI or similar) with clean, curated, analytics-ready data. Performance Optimization: Analyze and optimize Spark/pipeline workloads for performance, scalability, and reliability. Data Governance: Implement RBAC, data ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...
... as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience Experience building ETL/ELT pipelines for analytics workloads Understanding of data modelling and working with BI teams Experience working with ERP data (Oracle ERP a plus) Comfortable in a collaborative, remote team ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... Epidemiology, Biostatistics, Public Health , or a related field. - Familiarity with biotech and pharmaceutical development programs. - Experience using real-world data, including claims, EHR, and registry data , to develop patient funnels. - Strong ability to evaluate population estimates, methodologies, and supporting evidence. ...
... support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging Optimize ETL processes and data workflows ...
... a final answer Curious about applying AI to structural problems: pipeline debugging, anomaly detection, metadata generation, code review support Comfortable working in an environment where AI-usage practices are still evolving, and contributes ideas to shape them Experience with data quality tooling (SODA, Collibra, or ...
... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... other get better. Headout helps people experience the best of every city they visit. What skills & experience do you need - 1 - 3 years in an analytics, BI, or data science role - Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. Working knowledge of Python for data manipulation, ...
... efficient SQL queries and data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. ...
... Experience with MDM / Data Governance platforms such as Syniti, SAP MDG, Informatica MDM, or any home grown Strong understanding of data governance operating models, data ownership, data stewardship, workflow approvals, data quality rules, metadata, and data lifecycle management. Experience in data profiling, cleansing, harmonization, ...
... the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings and vector similarity, ...