Data Engineer III 4P/598
4p consultingBirmingham (AL)
Data Engineer III 4P/598
Posted 10 days ago
4p consultingBirmingham (AL)
SENIORITY
Lead
About the role
Data Engineer III
Experience Level:
5–10 Years Location: Birmingham, AL Contract- 1 Year Client- Southern Company Services.
Position Overview:
The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting. The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.
Key Responsibilities:
- Data Engineering & Pipeline Development
- Design, develop, test, deploy, and support scalable data pipelines
- Create and maintain Databricks pipelines for multiple data sources
- Develop batch and real-time data processing solutions
- Normalize databases and design schemas aligned with application requirements
- Combine and transform raw data into structured, analytics-ready datasets
- Data Modeling & Architecture
- Design and implement data models (star schema, snowflake, relational, NoSQL)
- Implement data access strategies and storage optimization techniques
- Develop functional and technical designs for data engineering solutions
- Support diverse data source integration and enrichment
- Big Data & Cloud Technologies
- Develop solutions using Spark, Hive, HadoopBuild and maintain solutions using Azure ecosystem tools: Azure Data LakeAzure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Key VaultPower BIWork with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden GateAI/ML & Advanced Analytics Support
- Support statistical models and AI/ML solutions using Python and/or RPrepare data pipelines to enable machine learning workflows
- DevOps & Modern Engineering Practices
- Implement CI/CD pipelines for data engineering deployments
- Work within Agile development environments
- Utilize containerization tools (Docker, OpenShift)
- Develop API and web service integrations for data sourcing and delivery
- Data Quality & Governance
- Implement and maintain data quality frameworks and tools
- Ensure consistency, accuracy, and reliability of data assets
- Required Qualifications5–10 years of hands-on data engineering experience
- Advanced SQL expertise
- Strong experience with Spark, Hive, HadoopHands-on experience with Azure cloud data tools
- Experience building Databricks pipelines
- Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
- Experience with batch and real-time data processing frameworks
- Experience with data modeling and schema design
- Experience working with APIs and web services
Preferred Qualifications:
- Experience supporting AI/ML workflows
- Experience with containerization (Docker, OpenShift)
- Strong background in DevOps and CI/CD practices
- Experience working in enterprise-scale environments
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