Python Developer with Azure Synapse

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.