Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... https://jobeax.com/link/0248uJ1uOn2H3moO : - Experience with infrastructure-as-code tools (e.g. Docker, Kubernetes).- Exposure to data quality frameworks, data observability tooling, or data governance practices.- Proficiency with AI-assisted development tooling (e.g. GitHub Copilot, Claude Code, Cursor) and a demonstrated ability ...
... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...
Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...
... Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing ...
... Implement Bronze, Silver, and gold tables for scalable data systems. Optimize Spark code to ensure efficient cloud migration. Data Modeling : Develop and maintain data models with strong governance practices. Data Cataloging & Quality : Implement cataloging strategies with Unity Catalog to maintain high-quality data. Lead the ...
... 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 layers; experience working with Engineering, Data, Analytics, and Technology teams in Agile ...
... opportunity to develop your skills while 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, ...
... Skills Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
... of experience in backend development with a strong focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience ...
... 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, and scalability. Required Skills: - 7+ years of Data Engineering ...
... the organization, 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.- ...
... shifts. Manage end-to-end delivery of data 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 ...
... Constantly challenge the data-stack status quo. Focus on building lightweight, cost-effective, and highly performant data systems, selecting tools based on architectural suitability rather than industry hype. Optimize data storage layouts, partitioning schemes, and query mechanics to handle high data volumes with minimal ...
... millions of members across the United States. It employs a large workforce of healthcare professionals, technology experts, and business specialists to support its mission of providing high-quality, affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical ...
... streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, or equivalent monitoring platforms - Strong understanding of ML quality dimensions such as bias, overfitting, data leakage, model drift, explainability, reproducibility, ...
... data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred). - Ability to work independently and deliver critical projects on time. - Your ...
... water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science ...
... Experience with SQL databases and Git-based development workflows. - Practical understanding of AI or LLM concepts, such as generative AI, embeddings, context limits, hallucinations, or responsible AI tool use. - Experience building data-intensive applications, ingestion services, distributed systems, or workflow-based solutions. ...