Responsibilities:

Work closely with CTO 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

Requirements:

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 4 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
Good Teamwork & Communication skills

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Senior Data Engineer