Managing Technical Consultant

Candidates who receive an offer will be required to complete a background check and drug test as a condition of employment.

Azure Data Engineer
Houston, TX (Onsite)
12+Month Contract

The role focuses on designing, building, and maintaining scalable Azure Data Lake and analytics solutions.

Responsibilities

• Design, build, and maintain Azure Data Lake–based ingestion, storage, and processing solutions
• Develop and manage scalable ETL/ELT pipelines using Azure Data Factory and Synapse (pipelines, mapping data flows, triggers)
• Build data ingestion frameworks, validation workflows, and orchestration logic
• Integrate SAP ECC/S4 data into Azure Data Lake for batch and delta loads
• Implement Azure-based data warehousing and analytics solutions
• Develop and optimize solutions using Azure Databricks, Azure SQL, and Power BI
• Perform data profiling, cataloguing, mapping, and technical data flow design
• Expose data to end users via Power BI, APIs, and Azure services
• Translate business requirements into technical data and analytics solutions
• Support CI/CD, source control, and DevOps practices
• Participate in agile delivery, POCs, prototyping, and knowledge transfer

Requirements

• Strong experience as a Data Engineer in an Azure Big Data environment
• Hands-on expertise with Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL DB/DW
• Programming experience in Python or Scala and strong mastery of SQL
• Experience with SAP ECC/S4 data integration
• Knowledge of Power BI and data visualization
• Good understanding of Azure Analytics services (HDInsight Spark, Stream Analytics, Cosmos DB, IoT, Data Lake Analytics, U-SQL)
• Experience with DBT, Git, Azure DevOps, ARM templates, PowerShell, and CI/CD
• Familiarity with Lambda and Kappa architecture patterns
• Experience with relational and NoSQL databases (e.g., SQL, Hadoop, MongoDB, Redis)
• Excellent communication skills and experience in agile environments
• Nice to have: MDM and data quality tools, team leadership or technical coaching, data preparation for ML/AI, and experience with Azure Machine Learning and AI solutions

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.