Senior Data Engineer: Snowflake Data Pipelines & Analytics

Ethereum Technologies

Irving (TX)

On-site

USD 130,000 - 190,000

Full time

5 hours ago
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Job summary

Ethereum Technologies is seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines in Snowflake. You will implement data integration from multiple sources, model data for analytics, and ensure quality and governance across the data landscape.

In this role, you will collaborate with analysts and architects, optimize warehouse performance, and contribute to CI/CD and agile processes. Strong Azure/AWS experience and Python skills are preferred for this position.

Qualifications

  • 7+ years of experience as a Data Engineer or in a related role.
  • Strong SQL and data modeling skills with experience in warehousing concepts.
  • Hands-on experience with ETL/ELT design and development.
  • Experience with cloud platforms such as AWS or Azure.
  • Knowledge of Python; Git, CI/CD, and Agile methodologies.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake.
  • Build and optimize ETL/ELT pipelines and data transformations.
  • Implement data integration from multiple sources into Snowflake.
  • Optimize Snowflake queries, warehouses, storage, and performance.
  • Develop data models for analytics, reporting, and BI.
  • Ensure data quality, accuracy, security, and governance.
  • Collaborate with business analysts, architects, and data teams to gather requirements.
  • Troubleshoot production issues and participate in code reviews and documentation.

Skills

Data Engineering
Snowflake
SQL
Data Modeling
ETL/ELT
Cloud (AWS/Azure)
Python
Git
CI/CD
Agile

Tools

Azure Data Factory
Informatica
dbt
Snowflake
Git

Job description

Ethereum Technologies is seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines in Snowflake. You will implement data integration from multiple sources, model data for analytics, and ensure quality and governance across the data landscape.

In this role, you will collaborate with analysts and architects, optimize warehouse performance, and contribute to CI/CD and agile processes. Strong Azure/AWS experience and Python skills are preferred for this position.

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