Senior Data Engineer Databricks Hucon Solutions India Pvt.Ltd.

About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: Senior Data Engineer Databricks | Azure | PySpark

Experience Required: 6- 10 Years
Salary Range: 15 LPA 30 LPA
Job Locations: New Delhi | Hyderabad | Chennai
Employment Type: Full Time | Permanent

Job Description:

We are actively hiring Senior Data Engineers with hands-on expertise in Databricks, Azure, and PySpark to join our high-performing data engineering team. The ideal candidate will work on designing, building, and maintaining large-scale data processing systems in a cloud environment, supporting business-critical insights and data science initiatives.

Key Responsibilities:

• Design, develop, and deploy scalable ETL/ELT pipelines using Databricks and PySpark.
• Build and maintain data solutions on Azure (Azure Data Factory, Azure Synapse, ADLS, etc.).
• Work with large volumes of structured and unstructured data.
• Ensure data quality, governance, and security across cloud platforms.
• Optimize data workflows for cost, speed, and scalability.
• Collaborate with data scientists, analysts, and cross-functional teams to deliver analytical solutions.
• Troubleshoot data pipeline issues and ensure smooth operations in production environments.
• Document workflows, architecture, and processes effectively.

Required Skills:

• Strong knowledge of Databricks notebooks, Delta Lake, and Spark SQL.
• Proficiency in PySpark, Python, and SQL.
• Deep understanding of Azure Data Services and Cloud Data Architecture.
• Experience with data warehouse and data lake concepts.
• Good understanding of CI/CD pipelines, version control tools like Git.
• Strong problem-solving, debugging, and performance-tuning skills.

Preferred Qualifications:

• Azure Data Engineer Certification (preferred but not mandatory).
• Experience in Agile environments.
• Exposure to real-time data streaming tools like Kafka or Spark Streaming is a plus.

Key Highlights:

• Work on cutting-edge cloud and big data technologies
• Opportunity to be part of a high-impact team delivering data-driven solutions