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DBA - Data Anlayst

Jobs via Dice

Location

Chicago, IL

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Job Title:

DBA - Data Analyst

Location:

Chicago, IL (Onsite)

Job Summary

STAFFXPERT LLC is seeking a

Cloud Database Administrator (DBA) / Data Analyst

on behalf of our client in Chicago, IL. The ideal candidate will have extensive experience in cloud data platforms, strong SQL and analytical skills, and a background in database administration or data analysis. This role involves managing, optimizing, and automating cloud data warehouses while collaborating closely with data engineering and analytics teams.

Key Responsibilities

  • Manage, monitor, and optimize cloud data platforms, specifically Amazon Redshift and Google BigQuery.
  • Implement and maintain backup, recovery, and disaster recovery strategies.
  • Handle user access, security controls, and ensure compliance.
  • Perform performance tuning, capacity planning, and cost monitoring.
  • Collaborate on scalable data warehouse design, including partitioning, clustering, and distribution strategies.
  • Contribute to data modeling and schema design best practices for analytics workloads.
  • Build scripts and automation for monitoring, deployment, and maintenance.
  • Optimize ETL/ELT pipelines for performance and cost efficiency.
  • Implement observability and workload management tools to ensure smooth operations.

Required Qualifications

  • 7-8\+ years of experience as a DBA, Data Engineer, or Data Analyst with database administration exposure.
  • Hands-on experience with Amazon Redshift and Google BigQuery.
  • Strong SQL skills with query optimization expertise.
  • Experience with ETL/ELT tools such as dbt, Airflow, Talend, or similar.
  • Knowledge of AWS and Google Cloud Platform cloud environments.
  • Understanding of data security and access control practices.
  • Excellent analytical, troubleshooting, and problem-solving abilities.

Preferred Qualifications

  • Experience in cloud data warehouse cost optimization.
  • Exposure to automation and scripting.
  • Background supporting analytics and business intelligence workloads.

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