- 10+ Overall industry experience
- 7+ years' experience with building large scale big data applications development
- Bachelors in computer science or related field
- Provide technical leadership in developing data solutions and building frameworks.
- Expertise in solutions for processing large volumes of data, using data processing tools and Big Data platforms.
- Experience building Data Lake, EDW and data applications using Azure, AWS and
- Hands-on experience in cloud Data stack (preference is Azure)
- Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience
- Hands on experience on major programming/scripting languages like Java
- Java experience with OOPS concepts, multithreading
- Nice to have experience deploying code on containers.
- Conduct code reviews and strive for improvement in software engineering quality.
- Hands-on experience in production rollout and infrastructure configuration
- Demonstrable experience of successfully delivering big data projects using Kafka, Spark
- Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search
- Experience working with PCI Data and working with data scientists is a plus.
- In depth knowledge of design principles and patterns
- Able to tune big data solutions to improve performance.
Preferred Skills, Experience and Education:
- Exposure to Big Data tools and solutions a strong plus
- Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data
- Bachelors in computer science or related field
- Experience in Design and architecture review
- Experience in Banking, Financial domain