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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. 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 3/28/2019  
Position Senior Data Engineer  
Full-Time/Part-Time Full-Time  
Exempt/Non-Exempt Exempt  
Category Information Technology  
Location Covina  
Req Number INF-19-00011  
Description

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 petabyte-scale data sets.
  • 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 or equivalent, or relevant experience.
  • 7+ years of design and development of data pipelines and/or data intensive applications encompassing the following areas:
    • Batch and real-time delivery of data across multiple technologies (pub-sub, APIs, log processing).
    • Developing and deploying modules inside data processing frameworks such as Spark and MapReduce.
    • Experience with each of the following technologies: relational databases, NoSql databases, data warehousing.
    • Building data pipelines using standard workflow tools and concepts.
  • Proficiency with SQL and Java, Scala, or Python.
  • Experience with building and deploying data applications on any Cloud infrastructure (Google Cloud Platform, Amazon Web Services, Azure).
  • Robust knowledge of data warehousing technology and concepts.
  • Experience with building data processing components using standard big data technology stack (or equivalent): MapReduce, Spark, Spark SQL, Spark Streaming, Hive, Pig, Impala, HBase
  • Experience interacting with and/or administering any of the following relational databases: PostgreSQL, MySQL, Oracle, SQL Server.
  • Experience with one of the following pub/sub technologies: Google Cloud Pub/Sub, Kafka, Kinesis.
  • Cloud platform certification (big data related) is a plus.
  • Experience leading development teams focused on building big data related applications.
  • 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 accepting applications.

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