UMG GCP - R01559803
Brillio
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Looker
- Python
- Airflow
- Apache
- Apache Airflow
- batch data
- BigQuery
- cloud computing
- data modeling
- data solutions
- data visualization
- Dataflow
- end-to-end
- ETL
- GCP
- GCS
- Google Cloud
- integration testing
- Java
- Keras
- Kibana
- Kubeflow
- Kubernetes
- SAS
- SQL
- TensorFlow
- UAT
- Pytorch
About the role
Brillio
Website:
brillio.com
Job details:
Lead AI/ML Engineer
Primary Skills
- Value Quantification : Pre-Model Development, Model Provisioning: Kubernetes, Kibana, Model Monitoring, Cloud Computing, Python/PySpark, SAS/SPSS, Great Expectation, Evidently AI, Deployment Strategies (A/B, Blue green, Canary), Model testing, Tools(KubeFlow, BentoML), Integration testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Value Quantification: Post-Model Deployment, Model Experimentation, R/ R Studio
Specialization
- ML Engineering: AI/ML Engineer
Job requirements
- Skills Data Engineering: SQL, BigQuery, Apache Airflow Cloud: GCP (BigQuery, Dataflow), Programming: Python (data processing, basic scripting) and Java Data Handling: Data modeling, query optimization Roles and Responsibilities
- Designed, developed, and optimized complex data pipelines to ingest, process, and store data from Google Cloud Storage (GCS) to BigQuery.
- Built API-integrated workflows to fetch data from external APIs, process responses, and load results into downstream systems.
- Implemented Pub/Sub-based event-driven pipelines supporting both real-time and batch data processing, including triggers and message handling.
- Created and managed BigQuery DDLs, views, and authorized views, ensuring secure data access through appropriate roles and permissions.
- Improved ETL pipeline and SQL query performance, reducing processing time and enhancing BigQuery warehouse efficiency.
- Conducted DEV and UAT testing, validating business logic, data quality, and end-to-end pipeline stability.
- Applied business transformation logic to convert raw data into analytics-ready datasets.
- Generated weekly and monthly SQL-based reports and automated their distribution via email for business stakeholders.
- Collaborated with client and business stakeholders to gather requirements and deliver accurate, efficient, and interpretable data solutions.
- Developed interactive dashboards using Looker Studio to enable clear data visualization and reporting.
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