Data Engineer

Data Modelling, Python, SQL, NoSQL DBs (Mongo), Snowflake, AWS Cloud, APIs, Tableau, PowerBI, Location - Mumbai Hybrid Purpose of the job

We are seeking a highly skilled Analytics Engineer to join our growing platform team. The successful candidate will play a critical role in delivering innovative and customer-centric data solutions, with a focus on hands-on execution and quick delivery of reports and insights. As an Analytics Engineer at our growing platform team, you will have the opportunity to make a significant impact in delivering innovative and customer-focused data solutions.

Your focus will be on hands-on execution and ensuring prompt delivery of valuable insights and reports. You will be joining us during an exciting period of growth and development and will play a crucial role in building our new Data Platform, including Data Lakes in AWS and Data Warehouses using the cutting-edge tools and technology. In this role, you will be responsible for productionizing data pipelines, as well as data and analytics solutions, ensuring their adherence to business requirements.

Key ResponsibilitiesDesign, 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 MeshStrong 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 in regard to 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 capabilities