Share Email Opening Title Senior Data Engineer  About the Organization Since 1986 LERETA's nationwide team of real estate tax and flood professionals has provided the mortgage and insurance industries the fastest, most accurate and complete access to property tax and flood information across the nation. LERETA is an industry leader with an enormous focus on technology, innovation, and commitment to service excellence.   Open Date 7/21/2021   Position Senior Data Engineer   Full-Time/Part-Time Full-Time   Exempt/Non-Exempt Exempt   Category Information Technology   Location Dallas (Meridian)   Req Number INF-20-00032   Description Summary Objective The Senior Data Engineer helps lead the effort of transforming the data systems at LERETA. The position works with a diverse set of data sources and systems, and provide the design, and definition of a new data platform. This opportunity requires 8+ years SQL Server, 4+ years SSIS experience. Azure SQL migration experience is a major plus. Python, Power BI, and Flow experience is a plus. Essential Functions Defines the data architecture, development platform and tools for collection, processing, and storage/retrieval of a variety of data sets across multiple business areas Establishes and enforces a set of development practices for ensuring minimal defects and promoting efficient collaboration Designs and implements core data pipeline components utilizing Azure Cloud Platform tools and technologies. Defines interfaces to internal and external systems based on standard transports and formats Defines and evolves data models, layouts, and access patterns for all data collections Provides proactive support for data platform pipelines and components and respond to ad-hoc requests     Position Requirements Bachelor’s degree in Computer Science, Informatics, Information Systems, or equivalent field 10+ years in software design/development, with a majority of time in a data engineering role with experience in the following areas: Big data toolset such as Power BI, SSIS, Power Query, Flow, Azure Data Factory, Hadoop, Spark, Beam, Kafka Relational databases such as Azure SQL or SQL Server Workflow and orchestration such as Microsoft Flow, SSIS, Power Query, Data Flows, Azure Data Factory Data analysis toolset such as Power BI, Power Query, Excel, SSIS, Notepad++ Messaging such as Azure Service Bus, Azure Event Grid, Azure Event Hubs, Kafka, Google Pub/Sub, AWS Kinesis Machine learning such as Azure Machine Learning Experience designing data architectures including: ingestion of data across various types and volume, defining new data structures, and identifying the appropriate technology for transformation, processing and storage Expert knowledge of SQL and experience writing complex data manipulation queries across a variety of databases Expert knowledge of Python, Golang, Scala, or Java, and experience using at least one for processing large datasets within a big data environment Experience building/deploying software using toolsets within common cloud infrastructures such as Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure Deep understanding of the inner-workings of data systems, experience with optimization and performance tuning Deep understanding of distributed environments and resource management Strong communication skills (verbal and written) and ability to communicate with both business and technical teams   EOE Statement We are an Equal Employment/ Affirmative Action Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.   This position is currently not accepting applications. To search for an open position, please go to http://LERETALLC.appone.com WE ALSO RECOMMEND Other Jobs Within Same Category -- None found -- Other Jobs Within 60 Miles -- None found --

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