This role is responsible for leading a team of data engineers to design, develop, and maintain data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions meet business requirements.
Over all 8+ years of solid experience in data projects.
Excellent Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and storage.
Proficient in SQL and must worked on complex joins, Subqueries, functions, procedure
Able to perform SQL tunning and query optimization without support.
Design, develop, and maintain ETL pipelines using Databricks, PySpark to extract, transform, and load data from various sources.
Must have good working experience on Delta tables, deduplication, merging with terabyte of data set
Optimize and fine-tune existing ETL workflows for performance and scalability.
Excellent knowledge in dimensional modelling and Data Warehouse
Must have experience on working with large data set
Experience working with batch and real-time data processing (Good to have).
Implemented data validation, quality checks, and ensure adherence to security and compliance standards.
Ability to develop reliable, secure, compliant data processing systems.
Work closely with cross-functional teams to support data analytics, reporting, and business intelligence initiatives.
Keyskills: Data Ingestion Etl Pipelines Deduplication Data Bricks Delta Live Table Data Transformation Pyspark Power Bi Merging Azure Databricks Dimensional Modeling data stora SQL Data Processing ETL
A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.