Data Engineer-Fintech Organization

Role Overview: As a Data Engineer, your primary responsibility will be to build large scale, highly available, fault-tolerant data analytics platforms & data pipelines that can support advanced analytics, including modeling and machine learning. You will work in a fully agile environment, ensuring timely delivery with high quality. Collaborating with business and data science teams, you will design and develop products while independently owning components and co-owning applications with other developers. Additionally, you will establish strong data engineering best practices and advocate for their adoption. Key Responsibilities: - Build large scale, fault-tolerant data analytics platforms & data pipelines that support advanced analytics - Work in an agile environment to deliver high-quality results on time - Design and develop products by collaborating with business and data science teams - Independently own components and co-own applications with other developers - Establish and promote strong data engineering best practices Qualifications Required: - 2+ years of experience in software product development and delivery - Bachelor's or Master's degree in engineering, preferably in computer science or related fields from a reputed institute - Experience in software product development or e-commerce background with a stable work history - Strong grasp of CS fundamentals, algorithms, and problem-solving abilities - Prior experience in building scalable databases, warehouses, data pipelines, and collaborating with data scientists Additional Company Details: The job location is in Bangalore with a hybrid work-from-office option. It is essential to have strong data engineering knowledge and cloud development exposure, proficiency in Python, SQL, (Py)Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog, etc.), and Airflow. Familiarity with both RDBMS (preferably MySQL) and NoSQL datastores, data lakes, warehouses, ETL/ELT paradigms, and various data engineering architectures is required. Experience in agile development environments is preferred. Optional skills include basic knowledge of statistical analysis, mathematical modeling, machine learning, and working with cloud technologies like Microservices, Docker, Kubernetes, Gradle, Kafka, GIT, unit/integration tests, Grafana, Kibana, Jira, Prometheus, and Redis.,