Experience: 7 to 10 Years
Location: Pune / Chennai (Hybrid Mode)
Job Type: Full time / Permanent
Job Summary:
We are looking for a highly skilled and experienced Senior Data Engineer with expertise in Python, PySpark, Azure Data Factory (ADF), Azure Databricks, and Power BI. The ideal candidate will play a key role in designing, building, and maintaining scalable data solutions and pipelines on Azure cloud platform, enabling effective business intelligence and analytics.

Key Responsibilities:
Design and develop data ingestion and transformation pipelines using Azure Data Factory and Azure Databricks.
Implement complex ETL/ELT workflows using PySpark and Python to support analytical and reporting requirements.
Collaborate with business analysts, data scientists, and BI developers to understand data requirements and deliver scalable solutions.
Develop, manage, and optimize data models and datasets for Power BI reporting.
Work on data cleansing, data integration, and performance optimization tasks.
Ensure data quality, security,



and governance in compliance with enterprise standards.
Troubleshoot and debug production issues and provide timely resolutions.
Follow best practices in coding, testing, and deployment within a CI/CD framework.
Mentor junior team members and guide best practices in data engineering and cloud technologies.

Required Skills & Qualifications:
7–10 years of qualified experience in data engineering or data platform development.
Strong proficiency in Python and PySpark.
Hands-on experience in Azure Data Factory for orchestrating data pipelines.
Proficient in Azure Databricks for large-scale data processing and transformations.
Solid experience with Power BI for data visualization and reporting.
Solid understanding of data warehousing concepts, data lakes, and lakehouse architecture.
Familiarity with DevOps tools, Git, and CI/CD pipelines for data projects.
Strong SQL skills and experience working with structure

📌 Technical Lead Pune
🏢 APPLYCUP HIRING SOLUTIONS
📍 Pune