Work closely with Product & Engineering Team to build the whole data pipelines + warehouses from scratch, you'll be the first member for this team
Building and growing the team as the journey goes.
Develop necessary scripts/mini-apps to run data analysis.
Provide recommendations to improve data quality.
Ensure and support the data architecture utilized by data scientists and analysts.
Development of data processes for data modeling, mining, and data production.
Giving suggestion for any data architecture for every element in organization.
Strong sense of ownership and self-starter who is target-driven and motivated.
You have led technical projects from concept, design, to delivery.
Working experience of at least 2 years with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow, spark, etc.
Experienced in Cloud Service environment, especially GCP + BigQuery. Skill in other Cloud Services is a big plus.
Experienced third party behavior analytics tools such as Firebase / Moengage / CleverTap, etc.
Experienced in working with RDBMS & Non-RDBMS datastores.
In conjunction with the requirement above, excellent skills in writing efficient querying language especially SQL.
Experienced in utilizing popular Visualization Tools such as Tableau / Holistics / Metabase, etc.
Skilled in Python programming.
Understand how to analyze & utilize data in order to provide value/insights for company decision making.