As the data engineer, you will be responsible for designing, building, and maintaining the infrastructure and systems necessary to collect, store, process, and analyze large volumes of data.

They play a critical role in ensuring that data is accessible, reliable, and ready for analysis by data scientists, analysts, and other stakeholders. You will work closely with technical leads and cross-functional teams to implement data solutions that meet business needs.

Key Responsibilities:
- Develop, Maintain, and Optimize the scalable data pipelines for data integration, transformation, and analysis, ensuring high performance and reliability.
- Demonstrate proficiency in ETL/ELT processes, including writing, testing, and maintaining high-quality code for data ingestion and transformation.
- Improve the efficiency and performance of data pipeline and workflows, utilizing advanced data engineering techniques and best practices.




- Troubleshoot and resolve complex issues related to data pipelines and applications, using logs and code reviews to ensure smooth data flow and system functionality.
- Work closely with data scientists, analysts, and stakeholders to understand requirements and deliver effective, high-quality datasets and data solutions.
- Utilize and manage cloud-based services, particularly on AWS, for data storage and processing, ensuring optimal use of resources.
- Ensure data accuracy and integrity by implementing data validation and cleansing techniques to maintain consistency.Perform unit testing, system integration testing, regression testing, and assist with user acceptance testing to ensure data solutions meet quality standards.

📌 Lead Data Engineer (Bengaluru)
🏢 Trigent Software
📍 Bengaluru