... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
Role Overview The Lead Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands-on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned ...
... analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks ...
Job Title: Java Microservices Developer - Bangalore About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 ...
... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...
... ensuring our data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end ...
... management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data management products that meet customer needs. Provide ...
... and/or GCP) and experience deploying robust services via Docker and Kubernetes. Data Advocacy: Exceptional communication skills with the ability to articulate complex data schemas, structural bottlenecks, and analytical tradeoffs to both hardware engineers and business operations teams. Competitive Salary: Highly competitive ...
... ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines . Define, compute, ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... and mentor other data scientists or ML engineers - Strong communication and collaboration skills, with the ability to explain technical trade-offs and model outcomes to both technical and non-technical stakeholders Experience leading complex ML initiatives involving multiple models, cross-functional teams, and production ...
... Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Are you ready to make an impact and help shape what's next Join us! We are looking for a Data Engineer to join ...
... help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures. Design and oversee ML solutions across the pharma commercial lifecycle, and ...
... collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that ...
... analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks ...
... members, and stay updated on the latest data engineering trends. Must-Have Qualifications: Education: Bachelor's or Master's degree in Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome). Python: Solid foundational knowledge of Python programming (data structures, ...
... or similar real-time streaming technologies. - Strong command of SQL and experience with data modelling, dimensional modelling, partitioning, and large-scale data processing. - Experience with Airflow, MWAA, Step Functions , or comparable workflow orchestration tools. - Strong understanding of batch and real-time data processing ...
... facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and Scala. Proven ability to design, build, and operate Data Lakes or Data Warehouses. ...