Company Description: Volante is on the Leading Edge of Financial Services technology, if you are interested to be on an Innovative fast- moving team that leverages the very best in Cloud technology our team may be right for you. By joining the product team at Volante, you will have an opportunity to shape the future of payments technology, with focus on payment intelligence. We are a financial technology business that provides a market leading, cloud native Payments Processing Platform to Banks and Financial institutions globally. Education Criteria: • B.E, MSc, M.E/MS in Computer Science or similar major. Relevant certification courses from reputed organization. Experience of 3+ years as a Data Engineer Responsibilities: • The role involves design and development of scalable solutions, payment analytics unlocking operational and business insight • Own data modeling, building ETL pipelines and enabling data driven metrics • Build and optimize data models for our application needs • Design & develop data pipelines and workflows that integrate data sources (structured, unstructured data) across the payment landscape • Assess customer's data infrastructure landscape (payment ancillary systems including Sanctions, Fraud, AML) across cloud environments like AWS, Azure as well as on-prem, for deployment design • Lead the enterprise application data architecture design, framework & services plus Identify and enable the services for SaaS environment in Azure and AWS • Implement customizations and data processing required to transform customer datasets that is needed for processing in our analytics framework/BI models • Monitor data processing, machine learning workflows to ensure customer data is successfully processed by our BI models, debugging and resolving any issues faced along the way • Optimize queries, warehouse, data lake costs • Review and provide feedback on Data Architecture Design Document/HLD for our SaaS application • Cross team collaboration to successfully integrate all aspects of the Volante PaaS solution • Mentor to the development team Skills: • 3+ years of data engineering experience data collection, preprocessing, ETL processes and Analytics • Proficiency in data engineering Architecture, Metadata management, Analytics, reporting and database administration • Strong in SQL/NoSQL, Python, JSON and data warehousing/data lake , orchestration, analytical tools • ETL or pipeline design & implementation of large data • Experience with data technologies, frameworks like Databricks, Synapse, Kafka, Spark, Elasticsearch • Knowledge of SCD, CDC, core data warehousing to develop a cost-effective, secure data collection, storage, and distribution of data for SaaS application • Experience in application deployment in AWS or Azure w/container, Kubernetes • Strong problem-solving skills and passion for building data at scale Job Description Engineering Skills (Desirable): • Knowledge of data visualization tools like Tableau • ETL Orchestration tools like Airflow and visualization tools like Grafana • Prior experience in Banking or Payments domain Location: India (Pune or Chennai)