GCP Application Technical Specialist
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Machine Learning · Cloud Engineering
In short
Data & MLOps Engineer on GCP to enhance transaction monitoring with AI-driven solutions. Responsibilities include building data pipelines, developing cloud solutions, operationalizing ML models, and driving engineering best practices. Requires strong Data Engineering, MLOps, and GCP expertise.
Responsibilities
- Build and maintain data pipelines using SQL (on BigQuery, using dbt), Spark, Airflow.
- Develop cloud-native data solutions on GCP.
- Operationalise, monitor, and support machine learning models in production.
- Implement data quality, governance, lineage, and monitoring controls.
- Collaborate with Data Scientists and Engineers to deliver reliable, scalable solutions.
- Drive adoption of engineering best practices across Data Engineering and MLOps.
- Act as a GCP champion and support the team's growth in cloud capabilities.
Requirements
- SQL
- dbt (Data Build Tool)
- BigQuery
- Apache Spark
- Apache Airflow
- Google Cloud Platform (GCP)
- Data processing and large-scale data platforms
- Data governance and quality management
- Data quality monitoring and automated controls
- Machine learning and MLOps practices
- Operating and monitoring ML models in production
Desired Qualifications
- Soda Data Quality
- Feature stores and model monitoring frameworks
- Financial Crime, AML, KYC, or Transaction Monitoring experience
#GCP#Data Engineering#MLOps#Cloud Engineering#Transaction Monitoring#BigQuery#SQL#Spark#Airflow#dbt
Company
HCLTech
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bangalore, India
Applicants
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