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Form of workPosition: Lead Software Engineer-Big Data
Location: Kirkland, WA
Duration: 6-9 Months
Primary Responsibilities:
• Architect, build and optimize data processing infrastructure and platform for a wide range of use cases, including Client, ETL, reporting, and analytics.
• Lead development of worldwide complex systems in the development and deployment of client products.
• Actively participate in hands-on coding (~70% of role).
• Collaborate with Data Scientists to facilitate the seamless integration of Client models into our software solutions.
• Own designing, implementing, and optimizing data pipelines that handle large volumes of data.
• Integrate Client models into the data pipelines to extract meaningful insights and enable data-driven decision-making.
Required Skillset
• Minimum of 8 years of experience with backend development.
• Minimum of 4 years hands-on experience leading software engineering teams.
• Strong expertise in building backend data pipelines and processing systems.
• Proven experience integrating machine learning models into software solutions.
• Strong expertise in Java and Scala programming.
• Experience building large-volume data web services using AWS technologies.
• Expertise in big data processing technologies like Amazon EMR to run Apache Spark, Apache Hive and Presto.
• Experience working with petabytes of data and the unknowns of data validation.
• Experience with location based data a plus.
Location: Kirkland, WA
Duration: 6-9 Months
Primary Responsibilities:
• Architect, build and optimize data processing infrastructure and platform for a wide range of use cases, including Client, ETL, reporting, and analytics.
• Lead development of worldwide complex systems in the development and deployment of client products.
• Actively participate in hands-on coding (~70% of role).
• Collaborate with Data Scientists to facilitate the seamless integration of Client models into our software solutions.
• Own designing, implementing, and optimizing data pipelines that handle large volumes of data.
• Integrate Client models into the data pipelines to extract meaningful insights and enable data-driven decision-making.
Required Skillset
• Minimum of 8 years of experience with backend development.
• Minimum of 4 years hands-on experience leading software engineering teams.
• Strong expertise in building backend data pipelines and processing systems.
• Proven experience integrating machine learning models into software solutions.
• Strong expertise in Java and Scala programming.
• Experience building large-volume data web services using AWS technologies.
• Expertise in big data processing technologies like Amazon EMR to run Apache Spark, Apache Hive and Presto.
• Experience working with petabytes of data and the unknowns of data validation.
• Experience with location based data a plus.
