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Role Description:
- Build and migrate existing data solutions to Google Cloud Platform (GCP) to support data analysis and ML/AI products.
- Develop new data products on GCP using DBT and BigQuery.
- Collaborate with Solution Architects and Business Experts to design relevant and efficient data models for data products.
- Integrate and sync data from multiple sources using Cloud Functions and Python, when necessary.
- Orchestrate components and data pipeline elements using Terraform and Cloud Workflows.
- Work closely with other Data Engineers, Data Scientists, and Software Engineers to deliver optimal solutions for current business needs.
Competencies:
- Digital: Google Data Engineering
Experience (Years):
- 6–8 years
Essential Skills:
- Strong hands-on experience with GCP services (BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer, etc.)
- SQL
- DBT
- Python
- Terraform
- Power BI (optional/added advantage)
- CI/CD pipelines
- Minimum 6 years of experience as:
- Data Engineer on modern cloud data platforms or advanced analytics environments, or
- Software Engineer with cloud technologies and infrastructure
- Experience working with various data formats (Avro, Parquet)
- Proficiency in data query languages (SQL or equivalent)
- Experience with data-centric programming using one or more: Python, Java, Scala
- Strong understanding of data modeling techniques and trade-offs
- Knowledge of NoSQL and RDBMS databases
- Collaborative, co-creative mindset with strong communication skills
- Ability to work independently and make decisions
- Experience with data visualization tools
Key Skills
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