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| Multi-Loc in India)Location:Hybrid – Offices inHyderabad, Chandigarh, Noida, Gurgaon, Bangalore, Chennai, Pune Remote Option:Can be considered for exceptional candidates ⏰Work Type:Full-timeContract (6 Months – Likely to Extend) Notice Period:Immediate to Max 20 Days ‍Experience Required:5+ YearsAbout the Role We are seeking ahands-on Senior Data Engineerwith strong expertise inDatabricks, Spark, AWS, and MLOpsfor a6-month contract role (extendable) . The candidate will design and implement scalable data pipelines, productionize ML workflows, and ensure system observability. This is acoding-heavy, execution-focused rolebest suited for professionals who can contribute from day one.Key Responsibilities Build and optimizedata pipelinesusingDatabricks and Spark . ImplementMLOps best practices(CI/CD, MLflow/SageMaker, monitoring, retraining). Develop and managecloud-native solutions on AWS . Design and monitorKPIs for data systems . Applydata observability practicesto ensure reliability and performance. Work closely withdata scientists, DevOps, and business teams .Must-Have Skills ✅ 5+ years ofhands-on Data Engineeringexperience ✅ Strong proficiency inPython, SQL, and APIs ✅Databricks(critical skill) ✅Spark(data transformations & ETL) ✅AWS(data engineering & ML services) ✅ Experience withMLOps tools(MLflow, SageMaker, or equivalent) ✅ Strong experience inKPI design & implementationfor data systems ✅ Familiarity withdata observability platformsNice-to-Have Skills Airflow(workflow orchestration) Jenkins(CI/CD) Containerization(Docker, Kubernetes) Terraform(IaC) Monitoring tools ( Grafana / ELK Stack ) Knowledge oflakehouse 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 incutting-edge cloud & AI/ML environmentsHow to Apply If you are interested and meet the above criteria, pleaseshare your updated CVwith the subject line: “Application – Senior Data Engineer – Contract – [Your Name] – [Notice Period]” Send applications to:career@ Please include the following details in your email: Full Name Total Experience Relevant Experience inDatabricks, Spark, AWS, MLOps Current Company & Location Current CTC & Expected CTC (Contract) Notice Period (only ≤20 days accepted) Preferred Work Mode (Hybrid Location / Remote)#DataEngineer #Databricks #PySpark #AWS #MLOps #MLflow #SageMaker #BigData #DataEngineeringJobs #ContractJobs #ImmediateJoiners #HybridJobs #RemoteJobsIndia #CloudEngineering #Python #SQL #DataPipeline #DataObservability #ETL #HiringNow #TechJobsIndia #HyderabadJobs #ChandigarhJobs #NoidaJobs #GurgaonJobs #BangaloreJobs #ChennaiJobs #PuneJobs #IIT #NIT #Strive4X

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