Senior Data Engineer / Architect

Job description Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers. Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Bachelor s or master s degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions. Strong Role: Data warehouse Architect / Consultant Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceCloud computingNoSQLSchemaData processingData qualityApacheTroubleshootingAnalyticsSQL