Role Overview:

As a Data Engineer, you will be responsible for developing and executing innovative data products, solutions, and frameworks. You will play a key role in enabling effective data democratization through well-designed solutions aligned with Client standards.

Key Responsibilities

- Design, develop, and maintain data products, solutions, and infrastructure

- Build data pipelines and compliance-driven infrastructure in AWS Databricks

- Collaborate with technical teams and business stakeholders to translate requirements into solutions

- Work with large card payment datasets ensuring high data quality and performance

- Implement data quality checks, monitoring, and alerting mechanisms

- Support data transformation, integration, and validation for analytics and BI reporting

- Optimize pipelines for performance and reliability

- Troubleshoot and resolve data-related issues with root cause analysis

- Document data processes, lineage, and technical specifications





- Participate in code reviews and enforce best practices

- Collaborate with DevOps teams for deployment automation and monitoring

Qualifications:

- Bachelor's degree in Computer Science, Engineering, Data Science, or related field

- 68 years of experience in Data Engineering or similar roles

- Solid experience with Spark data pipelines using Python in Databricks

- Expertise in ETL/ELT, data modeling, and data warehousing

- Experience with Delta Live Tables or similar automation tools

- Strong knowledge of Databricks, Spark, Python, SQL, and AWS

- Excellent analytical and problem-solving skills

- Ability to work in fast-paced, high-pressure environments

- Strong communication and collaboration skills across distributed teams

- Experience working in Agile environments

📌 Senior Software Engineer_Data Engineering (Pune)
🏢 PRI INDIA IT SERVICES PRIVATE
📍 Pune