Job Description
Year of Experience - 1 to 3 years
Location - Indore, Pune, Noida, Hyderabad, Bangalore, Gurugram
Required Skills:
- Python Programming: Strong ability to write clean and efficient code.
- Spark SQL: Good understanding of Spark SQL for distributed data processing.
- Data Processing: Experience with large datasets and structured data manipulation.
- SQL Fundamentals: Ability to write queries and optimize database performance.
- Problem-Solving: Analytical mindset to debug and optimize workflows.
Preferred Skills:
- AWS Cloud Services: Familiarity with S3, Redshift, Lambda, EMR is an advantage.
- ETL Development: Understanding of ETL processes and data engineering principles.
- Version Control: Experience using Git for collaborative development.
- Big Data Tools: Exposure to Hive, PySpark, or similar technologies.
Roles & Responsibilities
- Develop and optimize Python scripts for data processing and automation.
- Write efficient Spark SQL queries for handling large-scale structured data.
- Assist in ETL pipeline development and maintenance.
- Support data validation and integrity checks across systems.
- Collaborate with teams to implement cloud-based solutions (AWS preferred).
- Optimize performance of data queries and workflows.
- Troubleshoot and debug issues in existing applications.
- Document processes and ensure best practices in coding and data handling.
Please share resume at [Confidential Information]
