Data Engineer

2 weeks ago

Bengaluru, India Nasugroup Full time

Job Description :


We are seeking a highly skilled and motivated Data Engineer with strong experience in Data Engineering, Machine Learning (ML) workflows, and MLOps to join our team. The ideal candidate will have 7-8 years of total experience, with 2-3 years specifically focused on MLOps. You will work on building scalable data pipelines and deploying end-to-end ML solutions on the Azure cloud platform.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines and infrastructure to support ML workflows.

- Collaborate with data scientists and ML engineers to operationalize machine learning models.

- Implement MLOps practices including model versioning, automated testing, continuous integration/deployment (CI/CD), and monitoring of ML models.

- Work closely with the team to ensure the cloud infrastructure on Azure is optimized for ML model deployment and data processing tasks.

- Utilize your expertise in Python or SQL to write efficient queries, scripts, and integrate them into the data pipeline.

- Monitor data flows and resolve issues related to data processing and model performance.

- Ensure data governance best practices are followed to manage data integrity, quality, and privacy (preferred but not mandatory).

- Collaborate with cross-functional teams to understand data requirements and provide solutions that enhance business operations.

Key Requirements :

- Experience : 7- 8 years of experience in Data Engineering and Machine Learning workflows, including at least 2-3 years of hands-on experience with MLOps practices.

Technical Skills :

1. Expertise in Azure Cloud services (e.g., Azure Data Factory, Azure Databricks, Azure ML).

2. Proficient in Python or SQL for data manipulation, automation, and model integration.

3. Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow, etc.).

- Data Governance : Understanding of Data Governance principles and best practices (preferred, not mandatory).

- Soft Skills : Strong communication skills with the ability to collaborate with different teams and stakeholders.

- Problem Solving : Ability to troubleshoot, diagnose, and resolve complex data-related issues.

(ref:hirist.tech)

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