GCP Data Engineer MAHIN-JOB-31835

Keylent, Inc.

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of experience in data warehouse and data lake implementations
  • 1-2 years of experience with Google Cloud Platform, particularly BigQuery
  • Hands-on experience in migrating ETL jobs to Dataflow or Dataproc in CI/CD pipelines
  • Proficiency in Linux/Unix shell scripting and SQL
  • Familiarity with data modeling and database design
  • Solid understanding of the data warehousing ecosystem

Responsibilities

  • Design and develop data integration and extraction solutions
  • Convert ETL jobs from tools like Informatica into Dataflow or Dataproc
  • Implement data pipelines using Google Cloud technologies
  • Troubleshoot and resolve complex technical issues
  • Collaborate with teams in an Agile environment

Benefits

  • Work in a full-time, onsite role starting from Day 1
  • Engage with cutting-edge technologies in data engineering
  • Opportunity for skills enhancement in a collaborative environment
  • Contribute to impactful projects in a growing field of data management
  • Access to a supportive team that values problem-solving and innovation
Full Job Description
GCP Data Engineer MAHIN-JOB-31835
Job Role: GCP Data Engineer
Location: Atlanata GA (Day 1 Onsite)
Full Time

Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc
• 3-5 years Experience in Data warehouse and Data lake implementation
• 1-2 years of experience in Google Cloud Platform (especially Big Query).
• 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline
• Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery.
• Proficiency in Linux/Unix shell scripting and SQL.
• Knowledge of data Modelling, database design, and the data warehousing ecosystem.
• Ability to troubleshoot and solve complex technical problems.
• Excellent analytical and problem-solving skills.
• Knowledge of working in Agile environments.

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