Data engineering manager

Data Engineering Stack:

 Analytics: Python / R / SQL + Excel / PPT, Google Colab

 Database: PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

 Warehouse: Redshift, S3

 ETL: Airflow + DBT + Custom-made 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 end-to-end

 Strong hands-on 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 problem-solving skills to meet critical deadlines

 Familiarity (expertise preferred) with our current or a similar analytics stack