Contribute to the design, orchestration, and development of ongoing data science projects from data ingestion to presentation
Work with platform engineers and others to develop tools/frameworks needed to carry out projects
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Synthesize insights from raw data
Build dashboards and other visualizations; communicate findings internally and externally
Research new data engineering and analytics methodologies with minimal guidance and support from other team members
Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed
Write, test, and deploy efficient, scalable code to production that impacts millions of individuals
Generate ideas for new initiatives and technologies
Communicate with project leads, product managers and other software developers

Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline
two (2) years of experience in the job offered or in any occupation in related field
(1) Data warehouse design and dimensional modeling
(2) Extract, Transform, Load (ETL)
(3) SQL
(4) Python
(5) Airflow
(6) DBT
(7) Data Visualization (Tableau and Power BI)
(8) AWS cloud
(9) Snowflake
(10) Shell scripting
(11) Splunk
(12) Spark
(13) Hive
(14) Data Architecture

Data Engineer

Key skills