Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data.
Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Develop and maintain optimal data pipeline architecture.
Collaborate with data analyst and BI Developer to develop a comprehensive Business Intelligence Dashboard.
What you need to have (Minimum Qualifications):
2+ years of experience in data engineering role
Proficiency in Python, SQL, and automation
Familiar with BigQuery, Airflow, and Google Cloud Environment
Hands-on experience implementing ETL/ELT and data pipeline tools
Familiar with UNIX based operating system
What would make you stand out from the crowd (Preferred Qualifications):
2+years experience using Bigquery
2+years experience using Airflow
2+years experience using Phyton
Advanced in Excel data processing
Experience in BI Tools (Tableau, Power BI and etc)
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