Data Engineering with Print Publisher US global client Bangalore

Dear Candidates,

Data Engineering,II with

Skills- Data Engineering,II

Work Exp (years): 5-8yrs

Location: Bangalore

Work Mode Hybrid

Skills Required: ML Ops , Python ,GCP or AWS

Working shift -1-10 PM

Masters in computer science, Data Engineering, or a related field with 3+ years of experience in Engineering or cloud-based systems for data science applications

2. Strong hands-on experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS).

3. Strong programming skills in Python and cloud SDKs.

4. Proficiency in DevOps tools: Docker, Kubernetes, Terraform, Airflow, Jenkins, or similar.

5. Experience with Machine Learning lifecycle platforms (e.g., MLflow, Kubeflow, VertexAI, SageMaker).

6. Experience with CI/CD pipelines tailored to Data Science workflows & understanding monitoring tools.

7. Experience with large-scale multimedia datasets, including texts, images, and videos

8. Solid knowledge of version control, testing, and security practices in deployments.

9. Strong interpersonal and communication skills, and adept at working with multiple stakeholders

Primary responsibilities:

1. Apply data science practices for data quality, feature engineering, and exploratory modeling

2. Work with cross-functional teams to assess data science use cases & solutions

3. Collaborate with stakeholders to ensure alignment of data solutions with business goals

4. Designing and building new tables to support evolving data needs.

5. Stay current with the latest trends and tools in Data Science and cloud-native technologies.

If Interested Please send us an updated resume at namrata@findjobsforyou.co.in Below details.

Total Exp:

Relevant Data Engineer

Relevant in Machine Learning ,MLflow, Kubeflow, VertexAI, SageMaker

Relevant in Docker, Kubernetes, Terraform, Airflow, Jenkins

Relevant in CI/CD

Relevant in AWS and/or GCP

Relevant in Docker

Current CTC

Expected CTC

Notice Period

Current location

ok with Bangalore

Notice Period

Okay with Hybrid

Thanks & Best Regards,