We’re Hiring: Senior Data Engineer with MLOps

2 weeks ago


New Delhi, India Strive4X Infotech Private Limited Full time
We’re Hiring: Senior Data Engineer (Hands-On Role | Contract | Immediate Joiners Preferred| Multi-Loc in India)
Location: Hybrid – Offices in Hyderabad, Chandigarh, Noida, Gurgaon, Bangalore, Chennai, Pune
Remote Option: Can be considered for exceptional candidates
⏰ Work Type: Full-time Contract (6 Months – Likely to Extend)
Notice Period: Immediate to Max 20 Days
‍ Experience Required: 5+ 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 projects
Hybrid-first work model (remote option possible for strong candidates)
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:
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)
Preferred Work Mode (Hybrid Location / Remote)
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