Data Engineer IIIExperience Level: 5–10 Years Location: Birmingham, AL Contract- 1 Year Client- Southern Company Services.Position OverviewThe 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 ResponsibilitiesData Engineering & Pipeline DevelopmentDesign, develop, test, deploy, and support scalable data pipelinesCreate and maintain Databricks pipelines for multiple data sourcesDevelop batch and real-time data processing solutionsNormalize databases and design schemas aligned with application requirementsCombine and transform raw data into structured, analytics-ready datasetsData Modeling & ArchitectureDesign and implement data models (star schema, snowflake, relational, NoSQL)Implement data access strategies and storage optimization techniquesDevelop functional and technical designs for data engineering solutionsSupport diverse data source integration and enrichmentBig Data & Cloud TechnologiesDevelop solutions using Spark, Hive, HadoopBuild and maintain solutions using Azure ecosystem tools: Azure Data LakeAzure Data FactoryAzure DatabricksAzure SynapseAzure Key VaultPower BIWork with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden GateAI/ML & Advanced Analytics SupportSupport statistical models and AI/ML solutions using Python and/or RPrepare data pipelines to enable machine learning workflowsDevOps & Modern Engineering PracticesImplement CI/CD pipelines for data engineering deploymentsWork within Agile development environmentsUtilize containerization tools (Docker, OpenShift)Develop API and web service integrations for data sourcing and deliveryData Quality & GovernanceImplement and maintain data quality frameworks and toolsEnsure consistency, accuracy, and reliability of data assetsRequired Qualifications5–10 years of hands-on data engineering experienceAdvanced SQL expertiseStrong experience with Spark, Hive, HadoopHands-on experience with Azure cloud data toolsExperience building Databricks pipelinesExperience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL ServerExperience with batch and real-time data processing frameworksExperience with data modeling and schema designExperience working with APIs and web servicesPreferred QualificationsExperience supporting AI/ML workflowsExperience with containerization (Docker, OpenShift)Strong background in DevOps and CI/CD practicesExperience working in enterprise-scale environments