JB061713 - Sr. Data Engineer

USM

$100K — $140K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-10 years of experience in Data Engineering
  • Strong expertise in Google Cloud Platform, particularly GKE and ADK
  • Extensive experience with ETL processes and BigQuery
  • Hands-on experience with IBM Filenet
  • Good understanding of GCS and optimization techniques
  • Strong problem-solving skills in a hybrid environment

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines using BigQuery
  • Optimize data workflows with Google Cloud Platform, GKE, and ADK
  • Manage and enhance data integration with IBM Filenet
  • Collaborate with cross-functional teams for high-performance data solutions
  • Scale data processing systems for efficiency and cost-effectiveness
  • Contribute to cloud storage management and implement scaling best practices

Benefits

  • Opportunity to work in a cutting-edge cloud environment
  • Collaboration with cross-functional teams
  • Exposure to diverse data engineering projects
  • High potential for professional growth and skill enhancement
  • Access to advanced technologies in Google Cloud Platform
Full Job Description
  • Start Date: Interview Types
  • Skills 6-10 years of experi.. Visa Types Green Card, US Citiz..


  • Job Title: Sr. Data Engineer

    Experience: 6-10 Year

    Location: Chicago, Illinoi

    Job Description:

    We are seeking a highly skilled Sr. Data Engineer with 6-10 years of experience to join our team in Chicago, Illinois. The ideal candidate will have a strong background in cloud data engineering, particularly with Google Cloud Platform, including Google Kubernetes Engine, ADK, and Azure Dev Kit.

    Key Responsibilities:

    Design, develop, and maintain scalable ETL pipelines using BigQuery and other cloud data services.

    Work with Google Cloud Platform, GKE, and ADK to optimize data workflows.

    Manage and enhance data integration with IBM Filenet.

    Collaborate with cross-functional teams to deliver reliable and high-performance data solutions.

    Optimize and scale data processing systems for efficiency and cost-effectiveness.

    Contribute to cloud storage management, including GCS, and implement best practices for scaling and performance.

    Required Skills:

    6-10 years of experience in Data Engineering.

    Strong expertise in Google Cloud Platform, GKE, and ADK.

    Extensive experience with ETL processes and BigQuery.

    Hands-on experience with IBM Filenet.

    Good understanding of GCS, scaling, and optimization techniques.

    Strong problem-solving skills and ability to work in a hybrid environment.

    Nice to Have:

    Knowledge of Azure Dev Kit.

    Experience with cloud cost management and performance tuning.

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