Position Data Engineer
Location Seattle
Education
Mandatory Skills COSMOS, SQL, Big Data, Hadoop
Experience 5.00 - 12.00 Years
Description

Role and Responsibility

  • Basic Qualifications:
    • BS/MS in Computer Science, Engineering or related technical field
    • 7 years software development/ programming experience in enterprise cloud-based data applications.
    • 5 years of experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes).
    • Experience with supporting BIG DATA and Hadoop.
    • Exposure to programming languages/tools including: Java, Python, Scala, SQL and scripting (Java, Python, Spark, SQL, Hive, JavaScript, Shell). Scripts

    Desired Qualifications:
    • Exposure to functional, imperative and object-oriented languages and methodologies.
    • Experience with Big Data approaches and technologies including: Hadoop, Cloudera utilities, Spark, Kafka, Hive, Oozie.
    • Experience with SQL (SQL Server, MySQL, Postgres) and NoSQL (Cosmos/MongoDB/HBase) database is expected.
    • Distributed Systems experience (4+ years desired)
    • Knowledge of various design patterns and technologies that enable business problem-solving at scale
    • Great communication skills to drive collaborate cross-group and work effectively within the team
    • Exposure to cloud technology stacks from Microsoft, Amazon, or Google.
    • Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
    • 5+ Years of experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
    • Experience developing and testing computer software and/or online services.
    • Strong coding, debugging and problem-solving skills
    • Strong knowledge of object-oriented programming language paradigms
    • Great communication skills to collaborate cross-group and work effectively within the team

Demonstrated Experience

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