Staff Engineer
1 month ago
Responsibilities:
- Design, optimize, and maintain scalable data pipelines using PySpark ( Apache Spark ), Python, Databricks, and Delta Lake.
- Implement MLOps practices for efficient deployment and monitoring of machine learning models.
- Develop strategies and tools for detecting and mitigating data drift.
- Utilize Vector DB for effective data querying and management.
- Establish and manage a Feature Store to centralize and share feature data for machine learning models.
- Ensure data integrity and quality throughout all stages of the pipeline.
- Collaborate with teams and stakeholders to deliver impactful data solutions.
- Demonstrate proficiency in Python programming, PySpark (Apache Spark), data architecture, ETL processes, and cloud platforms (AWS, Azure, GCP).
Qualifications:
Required Experience - 4.5 Yr to 8 Yr
Notice Period-Immediate to 60 Days (Max)
Required Skills:
- Databricks
- Delta Lake
- PySpark (Apache Spark)
- MLOps
- Data Drift Detection
- Vector DB
- Feature Store
About the Role:
Senior Data Engineer with expertise in designing and implementing scalable data solutions, including robust data pipelines. Strong proficiency in ETL processes, MLOps practices for efficient model deployment, and utilizing technologies such as Databricks, DataLake, Vector DB, and Feature Store are essential.
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