Data Engineer
Makati - Remote
Savii
SAVii: Access your employee dashboard and learn about Financial Power at work.As a data engineer you will be responsible for developing and managing curated datasets, key business metrics, and reporting.You will architect and implement data models and ETLs for reporting. You should be a self-starter and you are comfortable working cross-functionally with other teams across Savii.
Skills and Experience
- 4-7 Years Data proficiency of SQL querying and ETL jobs
- Proficiency using Google Sheets, #sisense #metabase or similar BI visualization tools
- Experience using python AppsScript, other scripting languages to automate data retrieval, manipulation and analysis
- Curiosity and strong ability to drive insights from data – synthesizing not only what is happening by why it is happening
- Work well in a fast-paced, ambiguous, and rapidly-changing environment
- Experience on data modeling and workflow
- Experience on the deployment of data pipelines
- Experience on infrastructure maintenance
- Experience on access management, data security and compliance
- Experience with DBT, #airflow , and/or prefect
- Experience with data warehouse technology (#bigquery #redshift ,...)
- Experience with github / bitbucket
- Experience on Google App Script
Preferred Requirements
- Experience with payments, financial data, accounting, or auditing
- Experience in startup environment
- Experience with Google Cloud
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery Bitbucket Data pipelines Data warehouse Engineering ETL GCP GitHub Google Cloud Metabase Pipelines Python Redshift Security SQL
Perks/benefits: Startup environment
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