SnapLogic Developer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm renowned for its expertise in accounting, auditing, and financial advisory. With a vast international presence, they provide strategic insights and innovative solutions to help organizations navigate complex financial landscapes. They foster a collaborative culture that prioritizes professional growth and technological excellence.
About the role.
We are seeking a skilled Data Engineer to join our client's team in Bengaluru. In this role, you will be responsible for designing, developing, and maintaining robust data integration pipelines to support large-scale financial data warehousing initiatives. You will work in a hybrid environment, collaborating with cross-functional teams to ensure data accuracy and system performance.
What you will do.
- Design and implement scalable ETL pipelines using SnapLogic to integrate diverse data sources.
- Develop and optimize complex SQL queries for data extraction, transformation, and loading processes.
- Manage and maintain data warehousing solutions to support business intelligence and reporting needs.
- Integrate Kafka for real-time data streaming and event-driven architecture.
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
- Perform performance tuning and troubleshooting of data pipelines to ensure high availability.
- Write clean, maintainable Python scripts to automate data processing tasks.
- Ensure data quality and integrity across all integration touchpoints.
What you bring.
- 5–10 years of professional experience in data engineering or a related field.
- Hands-on expertise with SnapLogic for building complex integration workflows.
- Strong proficiency in SQL and experience working with enterprise-grade data warehouses.
- Experience with Kafka for data streaming and messaging.
- Proficiency in Python for data manipulation and automation.
- Solid understanding of ETL/ELT design patterns and best practices.
- Ability to work effectively in a hybrid work environment.
- Strong analytical and problem-solving skills with a focus on data accuracy.
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