Senior Data Engineer with MLOps

As a Senior Data Engineer at our company, you will play a crucial role in designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This hands-on role requires strong expertise in Databricks, Spark, AWS, and MLOps. Your coding skills and ability to contribute from day one will be essential for success in this position. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices such as CI/CD, MLflow/SageMaker, monitoring, and 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. - Collaborate closely with data scientists, DevOps, and business teams. **Qualifications Required:** - 5+ years of hands-on Data Engineering experience - Strong proficiency in Python, SQL, and APIs - Expertise in Databricks (critical skill), Spark, and AWS - Experience with MLOps tools like MLflow, SageMaker, or equivalent - Strong background in KPI design & implementation for data systems - Familiarity with data observability platforms **Additional Details:** Our company offers a contract role of 6 months, which is extendable based on performance. You will have the opportunity to work on high-impact projects in a hybrid-first work model. For exceptional candidates, a remote work option can be considered. Join us to work in cutting-edge cloud & AI/ML environments. If you are interested and meet the criteria mentioned above, please share your updated CV with the subject line: Application Senior Data Engineer Contract [Your Name] [Notice Period] to career@strive4x.net. In your email, kindly include the following details: 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). Apply now and be a part of our dynamic team!,