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Data Engineer 3 4P/444

4p consultingAtlanta, GA

11 days ago

Occupations

Data Warehousing SpecialistsDatabase ArchitectsData Scientists

Industries

Computer Systems Design ServicesCustom Computer Programming ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
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About the role

Data Engineer III
Experience: 5–10 Years Location: Birmingham, AL/ Atlanta, GA Contract - 1 YearClient - Alabama Power
Position Overview: We are seeking an experienced Data Engineer (Level 3) to build, optimize, and maintain scalable data pipelines and datasets that support business-critical analytics and applications. This role sits outside traditional IT and operates within the business technology/data domain—focused on ensuring clean, structured, and accessible data assets. The ideal candidate will have deep experience in data transformation, SQL optimization, Data Lakehouse architectures, and distributed processing systems. Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required.
Key Responsibilities:
  • Data Engineering & Pipeline Development
  • Design, build, and maintain scalable and reliable data pipelines
  • Combine raw data from multiple sources into clean, structured, machine-readable datasets
  • Implement transformations using Spark, SQL, and ETL/ELT tools
  • Normalize and model relational and distributed datasets to support analytics & applications
  • Lakehouse & Cloud Engineering
  • Develop and optimize data architectures in Databricks Lakehouse & AzureManage ingestion pipelines across structured and unstructured data sources
  • Apply data governance, quality, and lineage methodologies in cloud environments
  • Data Modeling & Quality
  • Create logical and physical data models to support business intelligence, ML, and analytics workloads
  • Ensure data consistency, accuracy, completeness, and reusability
  • Establish data quality frameworks, validation checks, and monitoring automation
  • Experience5–10 years in a Data Engineering role with hands-on development
  • Strong background in data manipulation & software engineering-oriented data practices
  • Experience supporting enterprise-scale platforms
  • Technical Skills
  • Advanced SQL (query optimization, stored procedures, tuning)
  • Databricks & Microsoft Azure Cloud (mandatory)
  • Spark / Hive / Airflow
  • Strong data modeling (star, snowflake, third-normal form)
  • Experience building ETL/ELT pipelines in distributed environments

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JOB OVERVIEW

Experience level

Lead

Location

Atlanta, GA

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

11 days ago

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