Job Title

IntroductionWe at Entiovi Technologies, provide digital transformation using new-age intelligent technologies for more than 8 years. We have clients located primarily in the US and Europe that are served by our Dedicated teams. This job is part of our expansion in India. A Data Engineer with 3-5 years of experience designs, builds, and maintains scalable data pipelines (ETL/ELT) and cloud-based data warehouses (AWS/Azure/GCP) to ensure data quality and accessibility. They work with Python/Scala, SQL, and Spark to transform large datasets, collaborating with data scientists to optimize analytics infrastructure.  To be successful in this role, you must have,3+ years of experience as a Data Engineer or in a similar role.Data Pipeline Development: Design, build, and optimize robust ETL/ELT pipelines using Spark/PySpark to ingest, process, and store data.Cloud Data Warehousing: Implement and manage data solutions using cloud technologies (e.g., Azure Databricks, Snowflake, AWS Redshift).Data Modeling & Quality: Design efficient data models and maintain high data quality, integrity, and security standards.Optimization: Monitor data pipelines for performance, scalability, and cost-efficiency.Collaboration & Mentorship: Work with cross-functional teams (analysts, data scientists) to understand needs and provide technical leadership or mentorship to junior engineers.Experience level,⦁ Mid-Senior level Send us your updated CV at hr@ with the following to start the conversation:⦁ Your LinkedIn Profile link⦁ Your GitHub linkLocation⦁ Remote