Data Engineer

As a Data Engineer with 4 to 7 years of experience and a budget range of 25 to 30 LPA, you will be responsible for handling the flow and storage of data efficiently to ensure that the model has access to the right datasets. Your role will involve tasks such as Database Design, where you will create efficient database systems using SQL, NoSQL, Hadoop, and Spark to store large volumes of transactional or behavioral data. You will also be involved in ETL Pipelines, building pipelines to collect, transform, and load data from various sources into a format suitable for analysis. Data Integration will be another key aspect of your responsibilities, where you will integrate different data sources, including transactional data, customer behavior, and external data sources. Proficiency in tools and technologies such as Apache Spark, Kafka, SQL, NoSQL databases (e.g., MongoDB), and cloud data services (AWS, Azure) will be essential for this role. Additionally, candidates with knowledge of UX/UI tools like Sketch, Adobe XD, Tableau, and Power BI will be considered advantageous as they can help in building interfaces to visualize fraud prediction and alerts, along with creating user-friendly dashboards.,