Senior Data Warehouse Engineer - ELT/ETL & Data Modeling

ADTRAN, Inc.

United States

On-site

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

ADTRAN, Inc. is seeking a Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a focus on data integration and ELT/ETL processes.

The role emphasizes data modelling, pipelines, and collaboration with stakeholders to translate business requirements into robust data platforms. Strong SQL, Snowflake or MS SQL Server experience, and modern analytics tooling are valued.

Qualifications

  • Bachelor's Degree or equivalent experience required.
  • 5+ years of professional experience in Data Warehouse Development or Data Engineering.
  • Strong SQL development skills and experience optimizing complex queries and transformations.
  • Solid experience in enterprise data modelling (dimensional and relational).
  • Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple applications.

Responsibilities

  • Design, develop, optimize, and maintain enterprise-grade data warehouse solutions and data pipelines.
  • Build scalable ELT/ETL processes for integrating data from various enterprise applications.
  • Develop and maintain dimensional and relational data models to support analytics and reporting.
  • Ensure high standards for data quality, performance, maintainability, and reliability.
  • Collaborate with business stakeholders to understand processes, systems, and data requirements.

Skills

SQL development
Data modelling
ETL pipelines
Data integration
Analytical thinking

Education

Bachelor's Degree

Tools

Snowflake
MS SQL Server
dbt
Python
Tableau
Qlik

Job description

ADTRAN, Inc. is seeking a Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a focus on data integration and ELT/ETL processes.

The role emphasizes data modelling, pipelines, and collaboration with stakeholders to translate business requirements into robust data platforms. Strong SQL, Snowflake or MS SQL Server experience, and modern analytics tooling are valued.

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