Business Analyst Healthcare domain and Payer Portal experience must. As a Business Analyst , you will collaborate closely with client stakeholders and engineering teams to understand processes across insurance payer portals, determine the information that needs to be captured, and convert those findings into well-defined requirements ...
... creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will be responsible to tune query performance ...
... intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in ...
... intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in ...
... and .NET Core/Web API. Strong expertise in SQL Server development, including T-SQL, stored procedures, functions, and triggers. Hands-on experience with SSIS (SQL Server Integration Services) for data integration and ETL processes. Experience designing, developing, and deploying SSRS (SQL Server Reporting Services) reports ...
... database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets. Contribute to the design and refinement ...
... to be managed by: A patented agentic AI platform) (*Note: This is a requirement for one of Uplers' client - A patented agentic AI platform) AI-powered platforms, Cloud Services, Cloud-native applications, contact center technologies, enterprise integrations, modern software engineering practices, .NET/.NET Core, https://jobeax.com/link/GrYTXLZMpxEMJknV ...
... At least 5 years of in-depth experience (Techno-functional) in Oracle-Retail applications (RMS, ReSA, ReIM, RPM, RIB, ALLOCATION etc) . - At least 3 years of AMS experience of (RMS, ReSA, ReIM, RPM, RIB, ALLOCATION etc) - Technical knowledge – Unix script , PLSQL ProC, Oracle Forms / ADF. - Hands on experience of resolving ...
... Certifications Certifications in relevant database technologies will be an advantage, such as: Microsoft SQL Server certifications Oracle Database certifications PostgreSQL certifications AWS/Azure/GCP database certifications ITIL certification SAP S4 HANA Key Deliverables The DBA will be responsible for: Stable and highly available ...
... platform sDevelop compelling stories with business insights, focusing on the strategic goals of the organizatio nWork with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness .Bachelor's degree in Business Administration, ...
... CoE head. Someone that can help with the reporting needs, need resource who can support here. Require more data visualization, know data engineering as well. -SQL Tableau -SQL - Need to create data for powerBI and tableua, done in SQL - BCG Data Lake is entirely snowflake - Write SQL queries in snowflake - Want to stay ...
... Candidate Profile: - Strong understanding of MVC, https://jobeax.com/link/GrYTXLZMpxEMJknV, Web API, Angular JS, .Net Core, C#, JavaScript, and IIS - Stronghold on SQL Server, MongoDB and experience on other No SQL databases. - Execute all changes of DB schema and maintain a controlled development database environment. - Creating ...
... enterprise grade environments. Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic. Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms. Familiarity with data governance, lineage tracking, and metadata management tools. Experience ...
... contributing to cloud-native database operations. The role demands strong ownership of critical systems, along with the ability to adapt to evolving database platforms across relational and non-relational ecosystems. Key Responsibilities 1. SQL Server Administration & Production Operations - Manage end-to-end SQL Server DBA operations ...
... maintaining database objects and should be experienced with Liquibase for database change management. Designing, developing, testing, and maintaining complex PL/SQL packages, procedures, functions, triggers, and database objects in Oracle 19c Developing high-performance SQL and PL/SQL code while optimizing queries, indexing, ...
Rated by Everest Peak Matrix and other analysts as a leader in the VMS report we continue to strive to drive innovation in the contingent workforce industry. As a key member of the Delivery Team, you will lead the successful implementation of our unique and highly configurable SimplifyVMS solution for clients and partners. ...
... for transactional safety or strategically denormalizing for analytical efficiency. Relational Design: Deep expertise in relational database design (e.g., PostgreSQL, BigQuery, Cloud SQL). Documentation & ERD: Proven ability to document strict data dictionaries and generate precise ERD diagrams. Data Boundaries: Strong understanding ...
... required Experience Experience with front-end React/Jquery/Javascript, HTML and CSS Frameworks; Solid experience https://jobeax.com/link/SnimKidtE0bbzGen Core, SQL Server, Strong Understanding of OOPS concepts and SOLID principles, Unit testing tools, Debugging techniques SQL or other RDBMS Solid understanding of Agile development ...
... project milestones and prioritization Data Analytics & AI-Powered Risk mitigation automations - Develop moderately to highly complex data processing jobs using SQL, Python, and other technologies - Leverage artificial intelligence and machine learning algorithms for predictive analytics, anomaly detection, and pattern recognition ...