Analytics Engineer

Job Description : Requirements : - Extensive experience leading AWS and cloud data platform transformations. - Proven track record of delivering large-scale data and analytical solutions in a cloud environment. - Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation and loading, normalization, aggregation, warehousing, data lakes, and data governance. - Expertise in developing data warehouses and in-depth understanding of modern data architecture, such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh. - Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines. - Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies. - Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an Agile team. - Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations. - Understanding of the impact of changes to business rules on data processes. - Excellent communication and influencing skills, especially with data solutions and outcomes. - Experience managing and leading a small team of data engineers. - Self-driven and constantly seeking opportunities to improve data processes. - Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization : - Data Modelling - Python - SQL, NoSQL DBs (Mongo) - Snowflake - AWS Cloud, APIs - Tableau - PowerBI - DQ Framework - DWH, Real-time reporting. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 5/1/2025