200+ applicants

Company

Original Job Post

Control Risks · 2 days ago

Data Engineer

Seattle, WA

Full-time

Hybrid

Mid Level

3+ years exp

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Responsibilities

Design, implement and support analytical data platform solutions for data-driven decisions and insights.

Design data schema and operate internal data warehouses & SQL/NOSQL database systems.

Work on different data model designs, architecture, implementation, discussions, and optimizations.

Interface with other teams to extract, transform, and load data from a wide variety of data sources, big data technologies like EMR, RedShift, Elastic Search etc.

Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc.

Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers.

Possess strong verbal and written communication skills, be self-driven, and deliver high-quality results in a fast-paced environment.

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Enjoy working closely with peers in a group of talented engineers and gain knowledge.

Be enthusiastic about building deep domain knowledge on various GSII AFP domains.

Own the development and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonJavaScalaRDBMSBig DataSQLNOSQLETLData WarehousingDistributed SystemsHadoopHiveHbaseSparkEMRSoftware EngineeringAgile MethodologiesCoding StandardsCode ReviewsSource ManagementBuild ProcessesTestingOperationsCloud ServicesAWSReporting ToolsVisualization ToolsProblem-SolvingAdaptabilityCommunication

Required

Degree in Computer Science or Engineering or related field

3+ years of industry experience as a Data Engineer or in a similar role

Hands-on experience in languages like Python, Java, Scala, etc.

Working knowledge of RDBMS, Big Data, SQL, NOSQL, ETL, and Data-warehousing

Experience working with distributed systems and big data processing technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

Good written and oral communication skills

Fast learner with the ability to adapt quickly to a fast-paced development environment

Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Knowledge of cloud services such as AWS or equivalent

Knowledge of different reporting/visualization tools in the industry

Sharp problem-solving skills and ability to resolve ambiguous requirements