Data Engineer

Job Description

Data Engineer – Databricks & PySpark
Location: Bangalore
Experience: 6–9 years

Your Role

As a Data Engineer, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and other modern data technologies. You’ll collaborate with cross-functional teams to deliver high-performance data pipelines and contribute to the success of data-driven initiatives.

In this role, you will:

• Develop and optimize data pipelines using Databricks , PySpark , and Python .
• Write efficient and scalable SQL queries for data extraction and transformation.
• Collaborate with data architects and analysts to understand business requirements.
• Integrate data workflows with Azure Data Factory (ADF) (preferred).
• Work on Big Data/Hadoop platforms (preferred).
• Ensure data quality, performance, and reliability across all solutions.
• Participate in code reviews, testing, and deployment processes.

Your Profile

• 6–9 years of experience in data engineering or related roles.
• Strong hands-on experience with Databricks , PySpark , Python , and SQL .
• Exposure to Azure Data Factory and Big Data/Hadoop is a plus.
• Excellent problem-solving and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

What You’ll Love About Working Here

• Flexible work options and a supportive environment for work-life balance.
• Inclusive culture that values diversity and innovation.
• Access to continuous learning and certifications in emerging technologies.