Senior Data Engineer

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. You will work on high-impact projects in a hybrid work environment across multiple locations in India. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices including 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, Spark, and AWS. - Experience with MLOps tools such as MLflow, SageMaker, or equivalent. - Strong background in KPI design & implementation for data systems. - Familiarity with data observability platforms. **What We Offer:** - Contract role (6 months, extendable) with high-impact projects. - Hybrid-first work model with a remote option for strong candidates. - Opportunity to work in cutting-edge cloud & AI/ML environments. If you meet the above criteria and are interested in this opportunity, please share your updated CV with the subject line: Application Senior Data Engineer Contract [Your Name] [Notice Period] to career@strive4x.net. 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), and Preferred Work Mode (Hybrid Location / Remote). Don't miss this chance to be a part of our dynamic team and contribute from day one in a challenging yet rewarding environment.,