We’re Hiring : Senior Data Engineer with MLOps (Hands-On Role | Contract | Immediate Joiners Preferr

We’re Hiring : Senior Data Engineer (Hands-On Role | Contract | Immediate Joiners Preferred| Remote, India

Location : Remote, India

⏰ Work Type : Full-time Contract (6 Months – Likely to Extend)

Notice Period : Immediate to Max 20 Days

‍ Experience Required : 6+ Years

About the Role

We are seeking a hands-on Senior Data Engineer with strong expertise in Databricks, Spark, AWS, and MLOps for a 6-month contract role (extendable) . The candidate will design and implement scalable data pipelines, productionize ML workflows, and ensure system observability. This is a coding-heavy, execution-focused role best suited for professionals who can contribute from day one.

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

✅ 5+ years of hands-on Data Engineering experience

✅ Strong proficiency in Python, SQL, and APIs

✅ Databricks (critical skill)

✅ Spark (data transformations & ETL)

✅ AWS (data engineering & ML services)

✅ Experience with MLOps tools (MLflow, SageMaker, or equivalent)

✅ Strong experience in KPI design & implementation for data systems

✅ Familiarity with 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 project

Opportunity to work in cutting-edge cloud & AI / ML environments

How to Apply

If you are interested and meet the above criteria, please share your updated CV with the subject line :

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

Send applications to : 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 Remote (Yes / No) ?

Are you fine with Contract job (Yes / No)?

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