Data Engineer

Data Engineer

Position Purpose: Implements simple to complex data ingestion and pipeline processes on Google Cloud Platform using industry-standard best practices. Designs, develops, configures, tests, debugs, and documents these processes based on business requirements and technical architecture specifications. Supports and troubleshoots existing ingestion and pipeline processes and data.

Responsibilities:

• Design and implement data ingestion and pipeline workflows as per business needs and technical specifications.
• Works independently and collaboratively with team; keeping the project team and leaders in the loop.
• Prepares detailed specifications from which data ingestion and pipeline processes are developed.
• Develops and implements technical solutions by code development and tool configuration.
• Querying databases using SQL to extract relevant data for analysis and troubleshooting of defects/bugs.
• Responsible for the development and execution of testing and implementation plans. Can perform unit, system, integration, and user acceptance testing. Documents results.
• Participates in project planning and development or assumes responsibility for a project of limited scope.
• Provides options for and estimates of possible coding.
• May be responsible for the completion of a phase of a project or small projects depending on complexity.
• Estimates and tracks time required to complete work, for project budgeting and financial tracking.
• Conducts and participates in reviews of solution designs, configurations, and code.
• Provides technical expertise for project and baseline support teams.
• Adheres to security standards to comply in the handling/processing/storing of sensitive data.
• Adheres to development standards and provides development standards recommendations.

Education Level: 4-Year Bachelor's Degree

Years of Experience: 3+ years of professional experience

Technical Skills and Qualifications:

• Must have:
  • Google Pub/Sub
  • BigQuery
  • Google Dataform
  • Data ingestion to Big Query experience
  • Google Cloud Storage
  • Cloud Composer
  • GitHub
  • SQL
  • Software SDLC
• Good to have:
  • DBMS connectivity and interaction experience (SQL Server, DB2, Oracle)
  • Experience calling RESTful API’s and SOAP Webservices
  • Experience integrating with other Google resources, databases, and services
  • BigQuery Query Optimization
  • Jira
  • Confluence
  • Dataflow
  • Terraform
  • Python
  • Agile
  • CI/CD tool

While working remotely, your candidates should have reliable high-speed internet and the client will provide a VDI. The Developer Virtual Desktop Infrastructure allows for entitled users to access a virtual computer asset to complete tasks and processes relative to their role and responsibilities. Your employee needs to have a laptop/desktop to log into their assigned client VDI. Your employee will install a VMware Horizon 7 compatible Client for Windows on their personal PC or one you provide once they are onboarded. This PC must have a currently supported operating system, which is regularly patched, and has updated commercial anti-malware software. To efficiently do the work, an additional monitor and a headset are required.

Required Skills: Google Cloud Platform (GCP), Data Warehouse

Basic Qualification:

Additional Skills: Cloud Developer, Data Engineer

This is a high PRIORITY requisition.