bolttech interview preparation.

At least five years of professional data-engineering experience, including designing, building, deploying, and supporting production-grade data platforms and pipelines.

Strong hands-on experience with the Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, Databricks Workflows, Databricks Asset bundles (DABs), Delta Live Tables (DLT), Delta Share and MLflow.

Strong development experience with Python, PySpark, and advanced SQL, including complex data transformations and performance optimization.

Bachelor’s Degree in relevant fields with minimum 5 years of relevant experience, preferably within customer services, customer experience or contact center management.

Proven experience in transformation of customer services and operations, leading to measurable improvement

In depth experience working on successful customer-centric work across physical and digital channels

Finance analysis, commercial finance or finance business partnering experience, ideally 3–6 years, with exposure to Technology, Group functions or transformation environments.

Preferably an academic background in Finance, Accounting, Economics or a related field.

Strong analytical skills, with the ability to build Excel models, analyse large data sets, interpret business drivers and turn analysis into clear commercial insight.