Vacancy caducado!
Database Consultant - MasteryDuties:What great looks like in this roleOur ideal Senior Data Engineer is passionate about data. You will help to implement data strategies, build data flows, and develop conceptual solutions for our data management practice using Information Management systems such as Postgres and Vertica.You will help to guide a team of experienced individuals and direct on-shore & off-shore developers. Provide technical leadership and consulting guidance on maintaining and developing our Strategic move to Cloud data transformation in Postgres.Help resolve issues and concerns with our Technology Platforms & Processes including sourcing data from on-prem & cloud data sources. Review technical designs from team members and provide guidance on delivery of projects. Help team conform to SDLC processes.You enjoy building data projects from the ground up and are equally comfortable working with business partners to understand requirements as you are developing and delivering robust solutions that meet the highest standards.Learning new technologies and working in the cloud excite you.You are team oriented and a strong communicator.Our ideal engineer should have a strong background with cloud technologies, software architecture as well as modern Infrastructure as Code deployment patterns and methodology. Experience building and deploying cloud-based platforms, such as Amazon Web Services.Objectives of the role
- Help to design, build, and maintain complex ELT jobs that deliver business value.
- Translate our high-level business requirements into technical specs.
- Ensure that our strategic solution meets with performance guidelines of our current legacy system.
- Ingest a solution that will encompass both full data and incremental data loads.
- Implement adequate data quality controls
- Provide insight and direction to guide the future development of s data platform
- Develop re-usable tools to help streamline the delivery of new projects
- Collaborate closely with other developers
- Evaluate and recommend tools, technologies, processes and reference architectures
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements
- Bachelor s degree in computer science, engineering, or a related field
- Data: 8+ years of experience with data analytics and warehousing
- SQL: Deep knowledge of SQL and query optimization
- ELT: Mastery level understanding of ELT methodologies and tools
- Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
- Communication: excellent communication, problem solving and organizational and analytical skills
- Able to work independently and in small group settings.
- Master s degree in computer science or engineering or a related field
- Cloud: Experience working in a cloud environment (e.g. AWS)
- Spark: Hands on experience developing with Spark
- Postgres: Hands on experience developing in Postgres.
- Advanced Data Processing: Experience using data processing technologies such as Kafka
- Workflow: Good knowledge of orchestration and scheduling tools
- API: Solid knowledge of Restful APIs, NodeJS and Java preferred.
- Data: 8+ years of experience with data analytics and warehousing
- SQL: Deep knowledge of SQL and query optimization
- ELT: Mastery level understanding of ELT methodologies and tools
- Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
- Communication: excellent communication, problem solving and organizational and analytical skills
- Able to work independently and in small group settings.
- Cloud: Experience working in a cloud environment (e.g. AWS)
- Spark: Hands on experience developing with Spark
- Postgres: Hands on experience developing in Postgres.
- Advanced Data Processing: Experience using data processing technologies such as Kafka
- Workflow: Good knowledge of orchestration and scheduling tools
- API: Solid knowledge of Restful APIs, NodeJS and Java preferred.
- Bachelor s degree in computer science, engineering, or a related field