Dice
Data Engineer Tech Lead
Dice, Dallas, Texas, United States, 75215
Dice is the leading career destination for tech experts at every stage of their careers. Our client, InfoVision, Inc., is seeking the following. Apply via Dice today!
Qualifications:
15+ years of experience (including 7+ years in Azure) in Data Engineering, ETL & Data WarehousingExcellent leadership, communication & client-facing skillsIn-depth knowledge of Azure Data Factory, Databricks, SSIS, Azure Functions, Logic Apps, Azure Event Hubs, PySpark, Spark Streaming, ADLS Gen2, Azure Blob, Azure Synapse, Azure SQL, SQL Server, and good working knowledge of Tableau.Executed at least 2 Azure Cloud Data Warehousing projectsExperience in Batch, API, Event & Streaming data processingWorking experience in building CI/CD pipelines using tools like Azure DevOps, GitHub, Jenkins, etc.Knowledge of handling various file formats like JSON, XML, CSV, Parquet, Delta, etc.Good knowledge of Agile methodology and able to work in a Scrum Master capacityExperience in creating repeatable modules to support automation to drive dynamic data ingestion, processing, quality checks & error handlingWorking knowledge of creating complex Databricks notebooks and integrating with Azure EcosystemExperience in creating SQL queries to analyze and extract semi-structured dataIn-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping
Data Engineer Tech Lead
#J-18808-Ljbffr
Qualifications:
15+ years of experience (including 7+ years in Azure) in Data Engineering, ETL & Data WarehousingExcellent leadership, communication & client-facing skillsIn-depth knowledge of Azure Data Factory, Databricks, SSIS, Azure Functions, Logic Apps, Azure Event Hubs, PySpark, Spark Streaming, ADLS Gen2, Azure Blob, Azure Synapse, Azure SQL, SQL Server, and good working knowledge of Tableau.Executed at least 2 Azure Cloud Data Warehousing projectsExperience in Batch, API, Event & Streaming data processingWorking experience in building CI/CD pipelines using tools like Azure DevOps, GitHub, Jenkins, etc.Knowledge of handling various file formats like JSON, XML, CSV, Parquet, Delta, etc.Good knowledge of Agile methodology and able to work in a Scrum Master capacityExperience in creating repeatable modules to support automation to drive dynamic data ingestion, processing, quality checks & error handlingWorking knowledge of creating complex Databricks notebooks and integrating with Azure EcosystemExperience in creating SQL queries to analyze and extract semi-structured dataIn-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping
Data Engineer Tech Lead
#J-18808-Ljbffr