Job Title: Data Engineer with Python(PySpark, Pandas & Azure Synapse) Location: Hyderabad(Work from office/Hybrid) Experience Required: 5+ years About the Role We are seeking a skilled Python Developer with expertise in PySpark, Pandas, and Azure Synapse Analytics. The role involves building efficient data pipelines, optimizing large-scale data processing workflows, and integrating backend solutions with Synapse for analytics and reporting. This position blends backend development and data engineering responsibilities to deliver scalable, high-performance solutions. Key Responsibilities + Develop and maintain data pipelines using Python, PySpark, and Pandas. + Optimize ETL workflows for handling structured and unstructured data. + Integrate with Azure Synapse Analytics for data storage, transformation, and reporting. + Work with Azure Data Factory (ADF) or similar tools to orchestrate pipelines. + Write optimized PySpark and Pandas code for large-scale data processing. + Support backend services/APIs that consume or expose processed data. + Collaborate with cross-functional teams (data engineers, analysts, and app developers) to deliver data-driven applications. + Implement CI/CD pipelines, monitoring, and logging for production workloads. + Ensure data security, compliance, and governance in cloud environments. Required Skills + Strong coding skills in Python with proven experience in Pandas for data wrangling and analysis. + Proficiency with PySpark for distributed data processing. + Hands-on experience with Azure Synapse Analytics (data warehousing, query optimization, pipelines). + Advanced SQL skills for querying and performance tuning. + Experience with Azure services (ADF, Data Lake, Functions, DevOps). + Knowledge of CI/CD, Docker/Kubernetes, and Git/GitHub. + Familiarity with REST APIs and backend integration patterns.