🚀 We’re Hiring: Senior Data Engineer with MLOps
1 week ago
🚀 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+ YearsAbout the RoleWe 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 ResponsibilitiesBuild 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 platformsNice-to-Have SkillsAirflow (workflow orchestration)Jenkins (CI/CD)Containerization (Docker, Kubernetes)Terraform (IaC)Monitoring tools (Grafana / ELK Stack)Knowledge of lakehouse architectureWhat We OfferContract role (6 months, extendable) with high-impact projectOpportunity to work in cutting-edge cloud & AI/ML environments📩 How to ApplyIf 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 NameTotal ExperienceRelevant Experience in Databricks, Spark, AWS, MLOpsCurrent Company & LocationCurrent 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)?#DataEngineer #Databricks #PySpark #AWS #MLOps #MLflow #SageMaker #BigData #DataEngineeringJobs #ContractJobs #ImmediateJoiners #RemoteJobsIndia #CloudEngineering #Python #SQL #DataPipeline #DataObservability #ETL #HiringNow #TechJobsIndia #IIT #NIT #Strive4X
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