Job Description

?? We?re Hiring: Senior Data Engineer with MLOps (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: [email protected] 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) #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