Job description:

Role: Databricks + Pyspark + SQL

Year of Experience:4-8 Years

Responsibilities:
- Collaborate with cross-functional teams to understand data requirements and design efficient data processing solutions.
- Develop and maintain ETL processes using Databricks and PySpark for large-scale data processing.
- Optimize and tune existing data pipelines to ensure optimal performance and scalability.
- Create and implement data quality and validation processes to ensure the accuracy of data.
- Work with stakeholders to understand business needs and translate them into actionable data solutions.
- Collaborate with the data science team to support machine learning model deployment and integration into production systems.
- Troubleshoot and resolve data-related issues promptly.

Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience working with Databricks, PySpark, and SQL in a skilled setting.
- Strong proficiency in designing and optimizing ETL processes for large-scale data sets.
- Experience with data modeling, data warehousing, and database design principles.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.

📌 Databricks + Pyspark + SQL | 4 to 8 Years | IST Time | Bangalore | Onsite (Bengaluru)
🏢 PradeepIT Consulting Services
📍 Bengaluru