Senior Cloud AWS Engineer - Remote / Telecommute, Cynet Systems, All cities, AK
Cynet Systems -
All cities, AK,
US
Senior Cloud AWS Engineer - Remote / Telecommute
Date Posted: 2024-05-29
Job description
Job Description:
Responsibilities:
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 the Client and the Board to share the business value.
- Demonstrates mutual respect, embraces diversity, and acts with authenticity.
- Bachelors degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred.
- Seven + 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 managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures.
- Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures.
- Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
- 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, and 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 + cloud certifications.