Analytics Engineer

Analytics Engineer Key Responsibilities Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports. Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights Develop and deploy data models that cater to various business requirements and enable efficient data analysis Lead the design of data solutions with a focus on automation, performance, and quick report generation Ensure data is readily available for business and analytics consumption and monitor the quality of the data Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders Communicate complex data solutions in a clear and understandable manner to both experts and non-experts Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions Stay up-to-date with industry trends and technology advancements in data engineering and analytics Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data. Knowledge, Skills, and experience required 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 & 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 Data Modelling,Python, SQL, NoSQL DBs (Mongo), Snowflake, AWS Cloud, APIs, Tableau, PowerBI, DQ Framework, DWH, Real time reporting Division Data, BI & Analytics Locations Mumbai Remote status Hybrid Mumbai About Collinson We use our expertise and products to craft customer experiences. Our range of services helps global brand acquire, engage and retain choice-rich customers. © 2023 Collinson International Limited. Registered in England & Wales under registration No. 2577557 Registered address : 3 More London Riverside, London, SE1 2AQ, United Kingdom. Co-workers 2000