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Title

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 Data Engineer  
Full-Time/Part-Time Full-Time  
Exempt/Non-Exempt Exempt  
Category Information Technology  
Location Covina  
Req Number INF-19-00012  
Description

Summary Objective

As a data engineer, you will design and build components for the big data platform at LERETA. You will work with business teams to understand product requirements, explore solutions, and collaborate with technical teams on design, build, test and deployment of various data components and supporting applications and services.

Essential Functions

  • Review requirements, provide feedback, and engage in the exchange of ideas with teams across the org.
  • Explore and test solutions on Google Cloud Platform (GCP) and work with operations on planning, setup, and execution.
  • Implement core functionality for the data platform utilizing GCP big data technologies.
  • Implement supporting applications and services including pipeline orchestration and resilient workflow execution.
  • Implement data access APIs across multiple data sources and technologies.
  • Provide clear, detailed documentation for data components and processes.
  • 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.
  • 5+ years of experience in a data engineering role including design and/or development in the following areas:
    • Big data toolset such as Hadoop, Spark, Beam, Kafka
    • Relational, NoSql and analytical databases such as Postgres, 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
  • Advanced knowledge of SQL and experience writing complex data manipulation queries across a variety of databases.
  • Advanced knowledge of Python, Golang, Scala, or Java, and experience using at least one for processing large datasets within a bid data environment.
  • Experience implementing tooling for data ingestion, data transformation, data mapping, metadata management
  • 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.
  • Experience designing and creating data models across multiple unstructured datasets.
  • 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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