Data Engineer, Ads Platform, Top local news mobile application

Location: Mountain View, CA

Posted: 10/2020

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Responsibilities

Design, develop, and support data pipelines, warehouses, and reporting systems to solve business operations, users, and product problems.

Create extract, transform, and load (ETLs) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Design data integrations and data quality framework.

Works closely with all business units and engineering teams to develop a strategy for long term data platform architecture.

Requirements

MINIMUM QUALIFICATIONS

BS or MS degree in Computer Science or a related technical field

Experience with one general-purpose programming language (e.g., Java, C/C++, Python).

Experience in data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Hive, Impala, Airflow).

Experience designing data models and data warehouses and using SQL and NoSQL database management systems.

Experience in custom ETL design, implementation and maintenance.

Experience analyzing data to identify deliverables, gaps and inconsistencies.

PREFERRED QUALIFICATIONS

Experience with more than one coding language.

Experience with SQL performance tuning and E2E process optimization.

Experience with designing and implementing real-time pipelines.

Experience with anomaly/outlier detection

Excellent communication, organizational, and analytical skills.

Benefits

We provide a highly competitive compensation package including base salary, bonuses, and options. Benefits include great Medical, Dental and Vision, 401k. A flat organization and family-like culture makes this a perfect environment to make a huge impact on our product and grow your skillset.

Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to drive insights related to monetization

Design and evaluate experiments to understand trade-offs and make launch decisions

Monitor usage metrics and provide business-based explanations for large scale trends and patterns in metrics

Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams

Benefits

We provide a highly competitive compensation package including base salary, bonuses, and options. Benefits include great Medical, Dental and Vision, 401k. A flat organization and family-like culture makes this a perfect environment to make a huge impact on our product and grow your skillset.