Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and loading.
Build and optimize ETL/ELT processes using SQL, Python, and Databricks.
Integrate data from multiple structured and unstructured sources.
Ensure data quality, consistency, integrity, and governance standards are maintained.
Perform data validation, cleansing, and transformation activities.
Business Intelligence & Reporting
Develop interactive dashboards, reports, and visualizations using Power BI.
Create complex DAX calculations, measures, and KPIs to support business requirements.
Gather reporting requirements from stakeholders and translate them into actionable dashboards.
Enhance reporting performance and optimize data models for faster insights.
Database Management
Manage and optimize Oracle databases, including monitoring, performance tuning, and troubleshooting.
Write and optimize complex SQL queries, stored procedures, and database scripts.
Support database maintenance activities and ensure high availability of critical business data.
Analytics & Automation
Utilize Python for data processing, automation, reporting, and analytics solutions.
Develop reusable scripts for data extraction, transformation, and validation.
Support predictive analytics and advanced reporting initiatives where applicable.
Cloud & Databricks
Work with Azure Databricks for large-scale data processing and transformation.
Develop notebooks and workflows for data engineering use cases.
Collaborate with cloud teams to build scalable data architecture and analytics solutions.
Collaboration & Support
Work closely with business stakeholders, analysts, and technical teams to understand requirements.
Participate in requirement gathering, solution design, testing, and deployment activities.
Provide production support and troubleshoot data-related issues.
Prepare technical documentation and knowledge transfer materials.
Required Skills
Strong hands-on experience in Power BI Development.
Proficiency in SQL and relational database concepts.
Experience in Python programming for data engineering and analytics.
Exposure to Azure Databricks and cloud-based data platforms.
Experience in data modeling, ETL development, and reporting solutions.
Strong understanding of data warehousing concepts.
Excellent analytical and problem-solving skills.
Strong communication and stakeholder management abilities.
Preferred Skills
Experience with Oracle Database Administration (DBA).
Knowledge of Azure Data Factory, Synapse Analytics, or other Azure services.
Experience working in enterprise BI and data analytics environments.
Understanding of data governance, security, and compliance practices.
Exposure to Agile/Scrum methodology.
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Relevant certifications in Power BI, Azure, Databricks, or Data Engineering will be preferred.
Responsibilities
Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and loading.
Build and optimize ETL/ELT processes using SQL, Python, and Databricks.
Integrate data from multiple structured and unstructured sources.
Ensure data quality, consistency, integrity, and governance standards are maintained.
Perform data validation, cleansing, and transformation activities.
Business Intelligence & Reporting
Develop interactive dashboards, reports, and visualizations using Power BI.
Create complex DAX calculations, measures, and KPIs to support business requirements.
Gather reporting requirements from stakeholders and translate them into actionable dashboards.
Enhance reporting performance and optimize data models for faster insights.
Database Management
Manage and optimize Oracle databases, including monitoring, performance tuning, and troubleshooting.
Write and optimize complex SQL queries, stored procedures, and database scripts.
Support database maintenance activities and ensure high availability of critical business data.
Analytics & Automation
Utilize Python for data processing, automation, reporting, and analytics solutions.
Develop reusable scripts for data extraction, transformation, and validation.
Support predictive analytics and advanced reporting initiatives where applicable.
Cloud & Databricks
Work with Azure Databricks for large-scale data processing and transformation.
Develop notebooks and workflows for data engineering use cases.
Collaborate with cloud teams to build scalable data architecture and analytics solutions.
Collaboration & Support
Work closely with business stakeholders, analysts, and technical teams to understand requirements.
Participate in requirement gathering, solution design, testing, and deployment activities.
Provide production support and troubleshoot data-related issues.
Prepare technical documentation and knowledge transfer materials.
Required Skills
Strong hands-on experience in Power BI Development.
Proficiency in SQL and relational database concepts.
Experience in Python programming for data engineering and analytics.
Exposure to Azure Databricks and cloud-based data platforms.
Experience in data modeling, ETL development, and reporting solutions.
Strong understanding of data warehousing concepts.
Excellent analytical and problem-solving skills.
Strong communication and stakeholder management abilities.
Preferred Skills
Experience with Oracle Database Administration (DBA).
Knowledge of Azure Data Factory, Synapse Analytics, or other Azure services.
Experience working in enterprise BI and data analytics environments.
Understanding of data governance, security, and compliance practices.
Exposure to Agile/Scrum methodology.
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Relevant certifications in Power BI, Azure, Databricks, or Data Engineering will be preferred.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
For Crimson AI successful analytics delivery, implementation, and validation of analytics driven measures require dedicated ownership from Methods. These roles are essential to ensure high quality handoffs to Engineering, compliance with governance standards, and reliable production outcomes across Crimson AI Analytics initiatives. US Healthcare experience of minimum 5 years mandate
Experience in building hospital inpatient and outpatient quality measures, support CMS submissions, experience in regulatory programs
Data Analysis and Research Experience
Responsibilities
For Crimson AI successful analytics delivery, implementation, and validation of analytics driven measures require dedicated ownership from Methods. These roles are essential to ensure high quality handoffs to Engineering, compliance with governance standards, and reliable production outcomes across Crimson AI Analytics initiatives. US Healthcare experience of minimum 5 years mandate
Experience in building hospital inpatient and outpatient quality measures, support CMS submissions, experience in regulatory programs
Data Analysis and Research Experience
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. Strong experience with Azure cloud services and cloud-native application development.
2. Strong experience with GHCP and related platform capabilities.
3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required).
4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.
Responsibilities
1. Strong experience with Azure cloud services and cloud-native application development.
2. Strong experience with GHCP and related platform capabilities.
3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required).
4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Develop and maintain applications using Progress OpenEdge Advanced Business Language (“ABL”).
• Develop and maintain Representational State Transfer (“REST”) Application Programming Interface (“API”) utilizing Progress App Server for OpenEdge (“PASOE”).
• Design, code, test, and debug complex software solutions.
• Collaborate with cross functional teams to gather and analyze requirements.
• Troubleshoot and resolve software defects and issues.
• Optimize application performance and ensure scalability.
• Participate in code reviews and ensure adherence to best practices.
• Create and maintain technical documentation.
Responsibilities
• Develop and maintain applications using Progress OpenEdge Advanced Business Language (“ABL”).
• Develop and maintain Representational State Transfer (“REST”) Application Programming Interface (“API”) utilizing Progress App Server for OpenEdge (“PASOE”).
• Design, code, test, and debug complex software solutions.
• Collaborate with cross functional teams to gather and analyze requirements.
• Troubleshoot and resolve software defects and issues.
• Optimize application performance and ensure scalability.
• Participate in code reviews and ensure adherence to best practices.
• Create and maintain technical documentation.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Exp: 7+
Location- Pan India
Work Model : Remote
Primary : Azure Cloud services knowledge and Github copilot tool knowledge ( AI tool )
Secondary : Java knowledge + Kubernetes + Devops knowledge
Required Skills set:
1. Strong experience with Azure cloud services and cloud-native application development.
2. Strong experience with GHCP and related platform capabilities.
3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required).
4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.
Responsibilities
Exp: 7+
Location- Pan India
Work Model : Remote
Primary : Azure Cloud services knowledge and Github copilot tool knowledge ( AI tool )
Secondary : Java knowledge + Kubernetes + Devops knowledge
Required Skills set:
1. Strong experience with Azure cloud services and cloud-native application development.
2. Strong experience with GHCP and related platform capabilities.
3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required).
4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Descriptions: Key ResponsibilitiesDesign| develop| and maintain end-to-end data pipelines (ETLELT) for structured and unstructured data Perform data ingestion| transformation| and integration across multiple sources and platforms Build and optimize data warehouselake solutions (Snowflake| Azure| etc.)Ensure data quality| validation| reconciliation| and governance across systemsWork with cross-functional teams (BI| analysts| business stakeholders) to deliver data solutionsMonitor data pipelines| troubleshoot issues| and optimize performanceImplement scalable and secure cloud-based data architecturesDocument data flows| pipelines| and technical designsRequired Skills Experience5 years of experience in Data Engineering Big Data Data IntegrationStrong hands-on experience in oSQL (advanced) and data modeling oPython scripting languagesExpertise in ETL tools and pipeline development (ADF| Informatica| dbt| etc.)Experience with cloud platforms (Azure AWS GCP)Solid understanding of oData warehousing conceptsoData lake architecturesoData cleansing and transformationHands-on experience with big data tools (Spark| Hadoop| Kafka) Preferred SkillsExperience with Snowflake Azure Synapse BigQuery Knowledge of CICD and DevOps practicesFamiliarity with data governance and data quality frameworksExposure to real-time streaming data pipelinesQualificationsBachelorsMasters degree in Computer Science| Engineering| or related fieldStrong analytical| problem-solving| and communication skills Data Architect (15 Years Experience)Job SummaryWe are looking for an experienced Data Architect with 15 years of expertise in designing and delivering enterprise-scale data solutions. The role involves defining data strategy| architecting scalable data platforms| and ensuring data governance| quality| and security across the organization.Key ResponsibilitiesDefine and drive the enterprise data architecture and data strategy roadmapDesign end-to-end data solutions including ingestion| transformation| storage| and consumptionArchitect scalable data lakes| data warehouses| and real-time data platformsEstablish and enforce data governance| security| and compliance frameworksDevelop data models (conceptual| logical| physical) and define standards for data structuresSelect and define optimal technology stack (cloud| ETL| big data tools)Collaborate with business stakeholders| architects| and engineering teams to deliver data-driven solutionsLead data transformation and modernization initiatives (cloud migration| legacy replacement)Ensure data quality| consistency| and performance optimization across platformsProvide technical leadership| mentoring| and architectural governance
Essential Skills: Data Engineer- ETL| Snowflake| AWS
Responsibilities
Role Descriptions: Key ResponsibilitiesDesign| develop| and maintain end-to-end data pipelines (ETLELT) for structured and unstructured data Perform data ingestion| transformation| and integration across multiple sources and platforms Build and optimize data warehouselake solutions (Snowflake| Azure| etc.)Ensure data quality| validation| reconciliation| and governance across systemsWork with cross-functional teams (BI| analysts| business stakeholders) to deliver data solutionsMonitor data pipelines| troubleshoot issues| and optimize performanceImplement scalable and secure cloud-based data architecturesDocument data flows| pipelines| and technical designsRequired Skills Experience5 years of experience in Data Engineering Big Data Data IntegrationStrong hands-on experience in oSQL (advanced) and data modeling oPython scripting languagesExpertise in ETL tools and pipeline development (ADF| Informatica| dbt| etc.)Experience with cloud platforms (Azure AWS GCP)Solid understanding of oData warehousing conceptsoData lake architecturesoData cleansing and transformationHands-on experience with big data tools (Spark| Hadoop| Kafka) Preferred SkillsExperience with Snowflake Azure Synapse BigQuery Knowledge of CICD and DevOps practicesFamiliarity with data governance and data quality frameworksExposure to real-time streaming data pipelinesQualificationsBachelorsMasters degree in Computer Science| Engineering| or related fieldStrong analytical| problem-solving| and communication skills Data Architect (15 Years Experience)Job SummaryWe are looking for an experienced Data Architect with 15 years of expertise in designing and delivering enterprise-scale data solutions. The role involves defining data strategy| architecting scalable data platforms| and ensuring data governance| quality| and security across the organization.Key ResponsibilitiesDefine and drive the enterprise data architecture and data strategy roadmapDesign end-to-end data solutions including ingestion| transformation| storage| and consumptionArchitect scalable data lakes| data warehouses| and real-time data platformsEstablish and enforce data governance| security| and compliance frameworksDevelop data models (conceptual| logical| physical) and define standards for data structuresSelect and define optimal technology stack (cloud| ETL| big data tools)Collaborate with business stakeholders| architects| and engineering teams to deliver data-driven solutionsLead data transformation and modernization initiatives (cloud migration| legacy replacement)Ensure data quality| consistency| and performance optimization across platformsProvide technical leadership| mentoring| and architectural governance
Essential Skills: Data Engineer- ETL| Snowflake| AWS
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :: Informatica Powercentre~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Snowflake
Drive the design and delivery of scalable healthcare analytics products by integrating product strategy and methodology expertise, ensuring alignment between business needs and feature delivery. US Healthcare experience of minimum 5 years is mandate
Experience in doing large scale data analysis and coming up with insights, statistics, business analysis skills, communication, project management
Experience working on clinical and claims data
Responsibilities
Drive the design and delivery of scalable healthcare analytics products by integrating product strategy and methodology expertise, ensuring alignment between business needs and feature delivery. US Healthcare experience of minimum 5 years is mandate
Experience in doing large scale data analysis and coming up with insights, statistics, business analysis skills, communication, project management
Experience working on clinical and claims data
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
