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EI

Senior Data Engineer

eTeam Inc.
🇺🇸 United States
On-site
Senior
1 month ago
  • Data Modeling
  • ETL
  • ELT
  • Data Architecture
  • AWS
  • Redshift
  • Azure Synapse
  • Snowflake
  • Databricks
  • Vault
  • SQL
  • Python
1 month ago
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Senior Data Engineer
Location: Chicago, IL 60604
Work Arrangement: Hybrid – 3 days per week in the Chicago office
Contract Duration: 6 Months
Experience: 8–10+ Years <.>Job Summary

We are looking for an experienced Senior Data Engineer with strong expertise in data modeling, cloud data architecture, data warehousing, and ETL/ELT solutions. The ideal candidate should have hands-on experience designing scalable cloud-based data solutions and optimizing data platforms.

<.>Key Responsibilities
  • Createconceptual, logical, and physical data models.
  • Design and architect data solutions for cloud platforms.
  • Assist in designingETL/ELT pipelines and data integration workflows.
  • Optimize database performance, indexing, storage, and overall costs.
  • Establish and maintaindata standards, metadata, governance, and security rules.
  • Work with data engineering and development teams to ensure scalable and reliable data solutions.
  • Provide technical guidance on data architecture, modeling, and warehouse design.
<.>Required Skills
  • 8–10+ years of experience in Data Architecture/Data Engineering.
  • Strong experience withData Modeling and data architecture.
  • Experience with one or more cloud platforms:
    • AWS Redshift
    • Azure Synapse
    • Google BigQuery
  • Experience with modern data platforms such as:
    • Snowflake
    • Databricks
    • Cloud-native relational databases
  • Experience with data modeling tools such asErwin/ERwin, Hackolade, or DbSchema.
  • Strong knowledge of data warehousing methodologies:
    • Kimball
    • Data Vault 2.0
    • Inmon
  • AdvancedSQL skills.
  • Strong scripting experience withPython.
  • Knowledge of data governance, metadata management, and data security.
<.>Preferred Qualifications
  • Experience designing enterprise-scale cloud data architectures.
  • Strong database performance tuning and optimization experience.
  • Experience working with ETL/ELT and modern data engineering environments.
  • Excellent communication and problem-solving skills.
  • Ability to work effectively with data engineers, developers, architects, and business stakeholders.

Senior Data Engineer · eTeam Inc.

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