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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will aid in the development, assessment, and analysis of security outcomes for AWS Infrastructure (networking, supply chain security and/or data center compliance) in accordance with NIST, FedRAMP, ISO and AWS standards.
$135,500 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift. End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Azure/GCP/AWS Solution Architect certification or Data Engineer certification is plus. Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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5+ years designing/deploying cloud solutions in AWS, Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, or Oracle Cloud Infrastructure (OCI) Certification in one or more of the following: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), other Cloud related certs.
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Experience with cloud data lake/data warehouse technologies such as Snowflake, Azure Synapse, AWS Redshift, etc. Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
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Google Cloud Platform, AWS, Azure); Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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As part of the team, you’ll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients.
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Working knowledge and experience in one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP. Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity.
Full-timeExpandApply NowActive JobUpdated 3 days ago
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