BI Solution Engineer.
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 provider of computer software solutions, specializing in data-driven insights and digital transformation. They operate at a significant scale, supporting complex enterprise environments with a focus on innovation and technical excellence. The company fosters a collaborative culture that values professional growth and the implementation of cutting-edge data technologies.
About the role.
We are seeking a highly skilled BI Solution Engineer to drive the modernization and automation of a sophisticated BI ecosystem. This hands-on role focuses on building scalable ETL/ELT pipelines, optimizing reporting architectures, and leveraging automation to enhance data delivery. You will work in a hybrid environment, contributing to the technical evolution of data platforms within a fast-paced, agile setting.
What you will do.
- Modernize and automate BI pipelines using Python, SQL, and enterprise SDLC practices.
- Develop and maintain robust ETL/ELT frameworks and reporting-ready data models.
- Utilize Tableau REST APIs to automate administration, monitoring, and deployment workflows.
- Implement CI/CD-driven development using Git and GitHub to streamline BI deployments.
- Collaborate with Data Engineering and BI teams to design scalable table structures and data movement across Medallion Architecture layers.
- Provide production support, performance tuning, and troubleshooting for complex data flows.
- Work within an Agile delivery environment to ensure timely and high-quality project execution.
What you bring.
- 8–11 years of professional experience in BI or Data Engineering.
- Expert-level proficiency in Python and SQL.
- Hands-on experience with ETL/ELT pipeline development and Tableau, including REST APIs.
- Strong command of Git, GitHub, and CI/CD methodologies.
- Proven ability to design data models and reporting datasets.
- Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.
- Experience with Linux Shell/Bash scripting, Medallion Architecture, ElasticSearch, ES|QL, and Kafka is highly desirable.
- Domain knowledge in Banking or Financial Services is a significant advantage.
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