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.
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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 xfgnyzt 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