Cloud AWS Engineer

4 days ago

Chester, United States Varite Full time
Job Description:
Responsibilities:
  • Understand technology vision and strategic direction of business needs
  • Understand our current data model and infrastructure, proactively identify gaps, areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility.
  • Partner across engineering teams to design, build, and support the next generation of our analytics systems.
  • Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses.
  • Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action.
  • utomate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions.
  • Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment.
  • Provide guidance to partners on effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies.
  • Design and build end to end automation to support and maintain software currency
  • Create automation services for builds using Terraform, Python, and OS shell scripts.
  • Develop validation and certification process through automation tools
  • Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
  • Participate in developing solutions by incorporating cloud native and 3rd party vendor products
  • Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform.
  • Develop data streaming, migration and replication solutions
  • Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions.
  • Engage with Senior leadership, business leaders at Client and the Board to share the business value.

Qualifications:
  • Demonstrates mutual respect, embraces diversity, and acts with authenticity
  • Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred
  • Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both
  • Three years in designing and building solutions in the cloud
  • Expertise in building and maintaining Sagemaker infrastructure while deploying AWS Sagemaker components using Terraform as Infrastructure as Code
  • Work closely with Data Scientists to ensure seamless deployment of Jupyter notebooks
  • Deep SQL expertise, data modeling, and experience with data governance in relational databases
  • Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies
  • Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
  • Experience using ETL/ELT tools and technologies such as Talend, Informatic plus
  • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
  • Expertise in relational and dimensional data modeling
  • UNIX admin and general server administration experience required
  • Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus
  • Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
  • ble to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
  • Experience with leveraging CI/CD pipelines
  • Experience with Agile methodologies and able to work in an Agile manner is preferred
  • One or more cloud certifications.

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