Data Engineering Stack:
Analytics: Python / R / SQL Excel / PPT Google Colab
Database: PostgreSQL Amazon Redshift DynamoDB Aerospike
Warehouse: Redshift S3
ETL: Airflow DBT Custommade Python Amundsen (Discovery)
Business Intelligence / Visualization: Metabase Google Data Studio
Frameworks: Spark Dash StreamLit
Collaboration: Git Notion
Requirements:
Industry experience of minimum 7 years (5 years in data engineering role)
Experience managing a team of at least 4 developers endtoend
Strong handson data modeling and data warehousing skills
Strong technical background and ability to contribute to design and review
Strong experience applying software engineering best practices to data and analytics scope (e. g. version
control testing and CI/CD)
Strong attention to detail to highlight and address data quality issues
Excellent time management and proactive problemsolving skills to meet critical deadlines
Familiarity (expertise preferred) with our current or a similar analytics stack
data engineering,python,cloud