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    2 jobs found for Big data in Maharashtra

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      • pune, maharashtra
      • permanent
      AWS Data EngineerRoles: Developer to Lead levelIT Experience range: 7+ yearsLocation: PAN India, Remote Skills and Experience: Must Have: Minimum of 2+ years in a solution architecture role OR Development using service and hosting solutions on AWS IaaS, PaaS and SaaS platforms. Good experience of AWS storage, and it's compute services.Good hands-on expertise on Python, SQL, PySpark, Hive and JenkinsAble to effectively use of AWS managed services (Step function, EMR, Lambda, Glue and Athena ) and design/develop data engineering solutionsExperience with analysis of requirement and client interaction.Good communication skills.Hands-on experience on developing Data platform and its components (Data lake, On cloud Datawarehouse, Batch and streaming data pipeline) Good to haveExperience with Databricks Basic understanding of data modeling Experience in migrating workloads from on-premises to cloud and cloud to cloud migrationsUnderstanding of Boto3 librariesExperience on AWS services like RDS, DynamoDB, RedshiftAbility to drive the deployment of the customers’ workloads into AWS and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for AWS cloud implementations. Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.Basic understanding of sage maker and ML algorithmsAct as a subject-matter expert OR developer around AWS and become a trusted advisor to multiple teams. Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required AWS technical certifications Education: Graduate/post graduate in CSE/IT or related fields
      AWS Data EngineerRoles: Developer to Lead levelIT Experience range: 7+ yearsLocation: PAN India, Remote Skills and Experience: Must Have: Minimum of 2+ years in a solution architecture role OR Development using service and hosting solutions on AWS IaaS, PaaS and SaaS platforms. Good experience of AWS storage, and it's compute services.Good hands-on expertise on Python, SQL, PySpark, Hive and JenkinsAble to effectively use of AWS managed services (Step function, EMR, Lambda, Glue and Athena ) and design/develop data engineering solutionsExperience with analysis of requirement and client interaction.Good communication skills.Hands-on experience on developing Data platform and its components (Data lake, On cloud Datawarehouse, Batch and streaming data pipeline) Good to haveExperience with Databricks Basic understanding of data modeling Experience in migrating workloads from on-premises to cloud and cloud to cloud migrationsUnderstanding of Boto3 librariesExperience on AWS services like RDS, DynamoDB, RedshiftAbility to drive the deployment of the customers’ workloads into AWS and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for AWS cloud implementations. Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.Basic understanding of sage maker and ML algorithmsAct as a subject-matter expert OR developer around AWS and become a trusted advisor to multiple teams. Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required AWS technical certifications Education: Graduate/post graduate in CSE/IT or related fields
      • mumbai, maharashtra
      • permanent
      Experience Required: • At least 5+ years of experience in designing and developing enterprise data architecture technologies and a successful track record in implementing such architectures At least 3+ years of experience in the Investment management industry, preferred exposure to alternative assets and associated data. At least 3+ years of professional delivery experience with Azure in the following areas: • Solution/technical architecture • Big Data/analytics/information analysis/database management • Data Modeling, Data architecture, Data Integration, and Database Design • Data Integration strategy using Batch (ETL/ELT), Streaming (Real-time/near-real streaming), by adopting CDC (changed Data Capture) Framework• Extensive hands-on experience delivering Azure platform solutions: • Required: Azure Storage, Azure SQL DB/DW, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, Azure DevOps, Data Bricks• Nice to have: Azure ML Studio, Snowflake • Advanced hands-on SQL, Spark, Python, Scala, pySpark (2+ of these) knowledge and extensive experience working with relational databases for data querying and retrieval • Experience designing and implementing data models across multiple datasets, including best practices for dimensional modeling, storage considerations, and handling full and incremental batch scenarios• Hands-on experience with data visualization and analytics tools preferably Power BI • Experience implementing security controls (data encryption, security groups, and roles, row-level security, etc.) across data lake storage, models, and analytics workspaces • Familiarity with data governance best practices, including exposure to tools such as Azure Purview, Collibra, or equivalent
      Experience Required: • At least 5+ years of experience in designing and developing enterprise data architecture technologies and a successful track record in implementing such architectures At least 3+ years of experience in the Investment management industry, preferred exposure to alternative assets and associated data. At least 3+ years of professional delivery experience with Azure in the following areas: • Solution/technical architecture • Big Data/analytics/information analysis/database management • Data Modeling, Data architecture, Data Integration, and Database Design • Data Integration strategy using Batch (ETL/ELT), Streaming (Real-time/near-real streaming), by adopting CDC (changed Data Capture) Framework• Extensive hands-on experience delivering Azure platform solutions: • Required: Azure Storage, Azure SQL DB/DW, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, Azure DevOps, Data Bricks• Nice to have: Azure ML Studio, Snowflake • Advanced hands-on SQL, Spark, Python, Scala, pySpark (2+ of these) knowledge and extensive experience working with relational databases for data querying and retrieval • Experience designing and implementing data models across multiple datasets, including best practices for dimensional modeling, storage considerations, and handling full and incremental batch scenarios• Hands-on experience with data visualization and analytics tools preferably Power BI • Experience implementing security controls (data encryption, security groups, and roles, row-level security, etc.) across data lake storage, models, and analytics workspaces • Familiarity with data governance best practices, including exposure to tools such as Azure Purview, Collibra, or equivalent

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