Responsibilities
- Work closely with our data science team to help build complex algorithms that provide unique insights into our data
- Use agile software development processes to make iterative improvements to our back-end systems
- Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Develop models that can be used to make predictions and answer questions for the overall business
Required skills and qualifications
3 or more years of experience with Python, SQL, and data visualization / exploration toolsFamiliarity with the Bigdata & Google CloudSolid work experience with Google cloud Bigdata toolset BigQuery, Airflow, CI / CD with google cloudKnowledge of industry-wide visualization and analytics tools (ex : Tableau, R)Knowledge of Core Java, Linux, SQL, and any scripting languageExperience with Python, Spark, and HiveCommunication skills, especially for explaining technical concepts to nontechnical business leadersAbility to work on a dynamic, research-oriented team that has concurrent projectsBachelor's degree (or equivalent) in computer science, information technology, engineering, or related disciplineExperience in building or maintaining ETL processesProfessional certificationSkills Required
Scripting Language, Airflow, BigQuery, Bigdata, Tableau, Google Cloud, Sql, Hive, Linux, Core Java, Spark, Python