Key skills
AirflowBigQueryCloudETLGoogle Cloud PlatformPostgresPythonSQLTableauData EngineeringData WarehousingDatabricksdbtGCPGoogle CloudGKEGCScomposer
About this role
Role Overview
- Design and implement scalable, secure, and cost-effective cloud-based data solutions
- Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes
- Ensure data quality and validation processes to maintain data accuracy and integrity
- Ensure efficient data storage and retrieval for optimal performance
- Collaborate closely with data teams, product owners, and other stakeholders
- Create & lead a team of data engineers to ensure timely deliverables fulfilling all data engineering guidelines & standards
Requirements
- Experience with cloud technologies
- Programming: Python
- Database: SQL, PL/SQL, Postgres SQL, Big query
- ETL & Integration: AecorSoft / Datasphere, DBT, Databricks (Optional)
- Data Warehousing: SCD Types, Fact & Dimensions, Star Schema
- Data Modeling: Erwin (Optional)
- Medallion Architecture: Bronze, Silver, Gold, Platinum
- GCP Cloud Services: Big Query, GCS, Cloud Function/Run, GKE
- Supporting Technologies: Airflow (Composer), Automic
- Visualization: PowerBI (Optional), Tableau (Optional)
Tech Stack
- Airflow
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- Postgres
- Python
- SQL
- Tableau
Benefits
- No Relocation support available