Data Engineer

Roles and Responsibilities: ▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure Data Factory, Data Factory & Azure Synapse Analytics. ▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client facing exp. · Finance/Insurance experience is also a must. ▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for structured/unstructured data. ▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage databases. · Python Automation: Develop scripts for data processing, automation, and integration using Python (Pandas, NumPy).   Technical Skills: ▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to have) ▪ Knowledge of Python, Pyspark, SQL, ETL concepts ▪ Good understanding of Insurance Operations and KPI reporting is an advantage.