Careernet
Location
Bangalore | India
Job description
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 Skills: data engineering,python,cloudJob tags
Salary
