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Xplor provides enterprise-grade SaaS solutions for businesses in “everyday life” verticals: Childcare & Education; Fitness & Wellbeing, Field Services and Personal Services – and a global cloud-based payment processing platform.
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Cloud Solutions, IoT, AWS, Azure, Data Strategy, Data Science, Data Engineering, Cloud Modernization, Cloud Software, User Experience, Data Visualization, and UX and UI. Provide site reliability engineering (SRE) services to feature teams, including investigating scalability limits, identifying bottlenecks and architectural constraints, providing solutions to performance issues, and reporting results with data and a repeatable process.
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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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AWS Certified Solutions Architect, or Developer Certification. Familiarity with AWS & GCP Cloud Services, including CloudWatch, AMI, k8s & Container Management, RDS, EBS, VPCs, IAM, EC2, S3, SNS.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Experience with other Data Persistence platforms: RDBMS (Postgres, Oracle, MySQL), Distributed SQL Engines (Cassandra, Foundation DB, Cockroach DB), NoSQL (Mongo DB), Hadoop, Data and Software Migration off/to RDBMS, AWS DBs (RDS, DynamoDB, EMR, Redshift, Aurora, etc.
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AWS Technical Architect / AWS Cloud Architect. Architect, Aws, Cloud, Devops, linux, CI/CD, docker, puppet, jenkins, Github, Ant, Jenkins, Puppet, Architecture. Uses own subject matter expertise and appropriate stakeholders to evolve infrastructure standards that improve time to market, economics, and brand protection for global technology solutions.
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3+ years' experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on Data Engineer to grow into the next step in their career journey and apply her or his technical expertise in Data Engineering and Data-driven initiatives to drive business value for multiple stakeholders while conducting cutting-edge applied engineering design and development around data engineering for Gen AI, and automation initiatives.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises.
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Bachelor's degree in information systems or related area, or demonstration of equivalent knowledge such as technical certifications from ISACA, (ISC)², AWS Cloud Practitioner, Microsoft Azure Fundamentals, Google Cloud Security Engineer, etc.
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As a Data Engineer, you will run build and work on enterprise grade software systems using Databricks, Python, Spark, R and SQL. You are expected to work with architects to design clean decoupled solutions; create automated tests in support of continuous delivery; adopt a culture of continuous improvement and delivery; and adhere to our standards.
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Extensive experience in designing and managing security solutions for systems hosted in cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. Develop the business, information, and technical artifacts that constitute the enterprise cybersecurity architecture and solutions within each respective domain.
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Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks. 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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