🚀 We’re Hiring: Senior Data Engineer with MLOps (Hands-On Role | Contract | Immediate Joiners Preferred| Gurgaon, India)

We’re Hiring: Senior Data Engineer (Hands-On Role | Contract | Immediate Joiners Preferred| Multi-Loc in India)

Location:

Remote Option:

Work Type:

Notice Period:

Experience Required:

About the Role

hands-on Senior Data Engineer

Key Responsibilities

• Build and optimize

  data pipelines

  using

  Databricks and Spark

  .
• Implement

  MLOps best practices

  (CI/CD, MLflow/SageMaker, monitoring, retraining).
• Develop and manage

  cloud-native solutions on AWS

  .
• Design and monitor

  KPIs for data systems

  .
• Apply

  data observability practices

  to ensure reliability and performance.
• Work closely with

  data scientists, DevOps, and business teams

  .

Must-Have Skills

hands-on Data Engineering

Python, SQL, and APIs

Databricks

Spark

AWS

MLOps tools

KPI design & implementation

data observability platforms

Nice-to-Have Skills

• Airflow

  (workflow orchestration)

• Jenkins

  (CI/CD)

• Containerization

  (Docker, Kubernetes)

• Terraform

  (IaC)
• Monitoring tools (

  Grafana / ELK Stack

  )
• Knowledge of

  lakehouse architecture

What We Offer

• Contract role (6 months, extendable)

  with high-impact projects

• Hybrid-first work model

  (remote option possible for strong candidates)
• Opportunity to work in

  cutting-edge cloud & AI/ML environments

📩 How to Apply

share your updated CV

“Application – Senior Data Engineer – Contract – [Your Name] – [Notice Period]”

career@strive4x.net

Please include the following details in your email:

• Full Name
• Total Experience
• Relevant Experience in

  Databricks, Spark, AWS, MLOps

• Current Company & Location
• Current CTC & Expected CTC (Contract)
• Notice Period (only ≤20 days accepted)
• Are you fine with Gurgaon, Hybrid (Yes/No) ?
• Are you fine with Contract job (Yes/No)?

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