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
