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Knowledge in data modernization, Cloud, data migration and digital transformation. · Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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X, Cloud Migration and Amazon EMR/Databricks/Cloudera CDP. x, Cloud migration, RDBMS is must. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Import and transform data from Magento to Shopify Plus, conducting rigorous testing to ensure accurate migration and functionality. Ability to conduct thorough testing to ensure data accuracy and functionality post-migration.
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Lead the Migration of Entire Legacy Catalog Services to Cutting Edge next generation Reactive Microsystems using Akka-Http,Akka Streams, which are deployed in Kubernetes Ecosystem in Public Cloud like Google GCP and Microsoft Azure.
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At least 1-2 years building production-grade data solutions (Example: ETL/ELT, Spark, Azure Data Factory, AWS Data Migration Services, streaming systems) As a Data Engineer, you'll be working with the latest cloud and technology stacks to help clients implement and mature their modern data architecture.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Leverage expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC, while assisting junior engineers and broadening your knowledge base. Provide innovative solutions toward cloud migration.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC. This is a great opportunity for a solid Reliability Engineer who is interested in automating tasks to help provide our customer on their journey with innovative solutions towards cloud migration.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems.
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You will be responsible for not only leading the migration but also building and maintaining robust data pipelines and infrastructure on the cloud platform. Lead the migration of our on-premise SQL Server data warehouse to a suitable AWS solution (e.g., Redshift, Athena.
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Experience with cloud deployment models, secure coding, cyber security, data migration, and data security a plus. Experience in cloud environment and cloud application user administration, SAP IAG, Okta, SailPoint, One Identity etc.
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Knowledge of industry trends, customer difficulties, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are helpful.
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