Data Engineer Hybrid Role

Qualis1 Inc

Not Interested
Bookmark
Report This Job

profile Job Location:

Washington, AR - USA

profile Monthly Salary: Not Disclosed
Posted on: 1 hour ago
Vacancies: 1 Vacancy

Job Summary

Role: Data Engineer

Location: Washington DC (Hybrid)

Duration: 6 months

Description:

Responsibilities

  • Function as the lead Google data team point of contact to support NOTAM data platform
  • Be highly collaborative and work closely with data producers and data consumers to understand the data needs provide consultation and align data solutions.
  • Lead database administration best practices including backup and recovery performance tuning scaling data archival database design and provide implementation support.
  • Create and deliver best practices recommendations sample code and technical presentations adapting to different levels of key business and technical stakeholders.
  • Analyze on-premise and cloud database environments consulting on the optimal design for performance and deployment on Google Cloud Platform. Support the design development and maintenance of RDBMS data warehouse and data pipeline solutions.

Must-Have Qualifications

  • Bachelors degree in Computer Science or equivalent practical experience.
  • 5 years of experience with relational database technologies such as PostgreSQL MySQL SQL Server or Oracle.
  • Experience working with business stakeholders to understand requirements provide technical leadership and educate teams on GCP best practices.

Preferred Skillset Requirement

  • Experience with database management tools for backups recovery snapshot management sharding partitioning and database performance tuning.
  • Experience working with cloud databases such as AlloyDB CloudSQL Big Query Experience with MLOps data warehousing and data pipeline development including ETL and ELT dataflow cloud functions.
  • Experience with application development.
  • Experience in database administration techniques including storage clustering availability disaster recovery security logging performance tuning monitoring and auditing.
  • Experience developing deploying and managing machine learning models including experience writing software in one or more languages such as Java Python Golang

Role: Data Engineer Location: Washington DC (Hybrid) Duration: 6 months Description: Responsibilities Function as the lead Google data team point of contact to support NOTAM data platform Be highly collaborative and work closely with data producers and data consumers to understand the data need...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala