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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. With 5.8 million tax loans and over 12 million flood loans under service, LERETA is an industry leader committed to service excellence and providing cost-effective solutions to customers.  
Open Date 11/5/2018  
Position Senior Data Engineer  
Full-Time/Part-Time Full-Time  
Exempt/Non-Exempt Exempt  
Category Information Technology  
Location Covina  
Req Number INF-18-00011  

Summary Objective

As a senior data engineer, you will help lead the effort of transforming the data systems at LERETA. You will work with a diverse set of data sources and systems, and provide the design, and definition of a new data platform.

Essential Functions

  • Define the data architecture, development platform and tools for collection, processing, and storage/retrieval of a variety of data sets across multiple business areas.
  • Establish and enforce a set of development practices for ensuring minimal defects and promoting efficient collaboration.
  • Design and implement core data pipeline components utilizing Google Cloud Platform tools and technologies.
  • Define interfaces to internal and external systems based on standard transports and formats.
  • Define and evolve data models, layouts, and access patterns for all data collections.
  • Provide 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 Hadoop, Spark, Beam, Kafka
    • Relational, NoSql and analytical databases such as Postgres, MySQL, HBase, Cassandra, Amazon Redshift, Google Big Query
    • Workflow and orchestration such as Airflow, Cloud Dataflow, Cloud Composer
    • Data analysis toolset such as pandas, NumPy, Jupyter
    • Data serialization and encoding such as Avro, Protocol Buffers, Thrift
    • Streaming technologies such as Spark Streaming, Kafka Streams, Flink
    • Messaging such as Kafka, Google Pub/Sub, AWS Kinesis
    • Machine learning such as TensorFlow, XGBoost
  • Experience leading engineering teams on big data efforts in an agile environment.
  • 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.

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