Data 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.
We are partnering with a leading global computer software firm that specializes in delivering innovative digital solutions and data-driven insights. With a strong focus on technological excellence, the company supports large-scale enterprise transformations across various industries. They foster a collaborative, fast-paced environment that encourages professional growth and technical innovation.
About the role.
This role focuses on designing, developing, and optimizing scalable data transformation pipelines within modern cloud data platforms. You will be responsible for building analytics-ready datasets and implementing robust data quality frameworks to support enterprise-level decision-making. The position requires a strong technical background in ELT processes and a commitment to delivering high-quality, reliable data products.
What you will do.
- Design and develop efficient ELT pipelines using DBT to support complex data workflows.
- Build reusable, scalable, and maintainable data transformation models following industry best practices.
- Develop staging, intermediate, and mart layers to ensure clean and accessible data structures.
- Design dimensional models, fact tables, and star schemas to support enterprise data warehouse initiatives.
- Implement comprehensive DBT tests for uniqueness, referential integrity, and custom business rules.
- Optimize query performance and manage compute costs across cloud data platforms.
- Integrate DBT projects with Git and CI/CD pipelines to automate deployments across environments.
- Collaborate with data architects, analysts, and business stakeholders to deliver high-impact data solutions.
What you bring.
- Proven experience as a Data Engineer with deep expertise in DBT (Data Build Tool).
- Strong proficiency in SQL and experience with ELT processes.
- Hands-on experience with cloud data warehousing platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Redshift.
- Solid understanding of data modeling techniques, including star schemas and dimensional modeling.
- Experience with CI/CD practices, Git version control, and automated deployment workflows.
- Strong analytical skills with the ability to perform root cause analysis for data quality issues.
- Excellent communication skills and the ability to work effectively in a hybrid team environment.
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