Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Data/ML Engineers build scalable data pipelines and operationalize machine learning workflows on Google Cloud.
Implement ETL/ELT pipelines using Dataflow, Airflow, BigQuery.
Ensure data quality, reliability, and pipeline resilience.
Deploy and monitor ML models.
Collaborate with data scientists on feature engineering and datasets.
Optimize pipelines for performance and cost.
Mid-Level (510 years)
Owns pipeline development and data workflow improvements.
Addresses moderate data quality and performance issues.
Designs large-scale data architectures and ML operational workflows.
Leads integration of ML workloads into production systems.
Defines data platform strategy and data engineering standards.
Provides technical direction across data, ML, and pipelines.
Hexaware Technologies
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