Cloud-Native Data Solutions Architect

2 days ago

guntur, India beBeeDataEngineering Full time

Transformative Data SolutionsWe are a trusted global partner specializing in delivering transformative digital solutions by integrating Generative AI, Data Analytics, and Intelligent Automation with advanced engineering expertise.Job Title: AWS Data Engineer - Redshift & SnowflakeWe seek a skilled AWS Data Engineer with hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutions. The ideal candidate should have strong technical knowledge in AWS services, data integration, and real-time/batch data processing.The role involves architecting and maintaining high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, and optimized for scale.Key Responsibilities:Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and SnowflakeArchitect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasetsBuild, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumersOwn and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environmentsCollaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirementsProactively identify and remediate performance bottlenecks, slow queries, and data inconsistenciesImplement and manage database change workflows using schema migration/versioning toolsDefine and promote best practices for data access, security, compliance, and observabilityRequirements:Hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutionsStrong technical knowledge in AWS services, data integration, and real-time/batch data processingExperience with designing and maintaining scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and SnowflakeProficiency in architecting and optimizing complex queries, stored procedures, indexing strategies, and partitioning for large datasetsBenefits:Opportunity to work with cutting-edge technologies and innovative projectsCollaborative and dynamic work environmentProfessional growth and development opportunitiesWhat We Offer:Competitive compensation and benefits packageOpportunities for career advancement and professional growthA collaborative and dynamic work environment

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