Analytics Engineer

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