Job
Description
We are hiring a Data Engineer for a cutting-edge product company based in Hyderabad. This company operates as a subsidiary of a large multinational organization and is focused on building a fully digitized trade finance platform. The platform connects businesses seeking supply chain financing with investors interested in trade finance assets. The mission is to become a leading global enabler of sustainable trade, combining deep expertise in trade and risk management with advanced technological capabilities in digital finance. This is an exciting opportunity to join a high-impact team working at the intersection of fintech, trade, and global markets. Role Description This is a full-time role for a Data Engineer with 3–5 years of experience, who will play a key role in designing, building, and maintaining scalable data pipelines and reporting solutions in a cloud-based big data environment. The ideal candidate will have hands-on experience with AWS data services and a strong understanding of data modeling, ETL processes, and reporting frameworks. Responsibilities Design, develop, and maintain robust and scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and EMR Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions Build and optimize data models and data lakes to support analytics and reporting needs Automate data ingestion, transformation, and validation processes Ensure data quality, consistency, and security across all stages of the data lifecycle Monitor and troubleshoot data pipeline issues, ensuring high availability and performance Participate in Agile development practices and contribute to continuous improvement initiatives Stay current with emerging data technologies and recommend best practices for data engineering and architecture Qualifications 3–5 years of experience in data engineering or a related field Strong proficiency in SQL Python and Scala for data processing Hands-on experience with AWS data services (e.g., Glue, Redshift, S3, Lambda, Athena, EMR) Experience with data modelling, ETL/ELT processes, and data warehousing Familiarity with CI/CD practices and version control systems like Git Strong problem-solving and analytical skills Excellent communication and collaboration abilities Bachelor's or master’s degree in computer science, Information Technology, or related field AWS certification (e.g., AWS Certified Data Engineer) or other Engineering certifications is a plus.
