Job Purpose

You will be working in a dynamic product development team while collaborating with other developers, management, and customer support teams. You will have an opportunity to participate in designing and developing services utilized across product lines.

The ideal candidate should possess a product mentality, have a strong sense of ownership, and strive to be a good steward of his or her software.  More than any concrete experience with specific technology, it is critical for the candidate to have a strong sense of what constitutes good software; be thoughtful and deliberate in picking the right technology stack; and be always open-minded to learn (from others and from failures). 

Responsibilities

• Develop high quality data processing infrastructure and scalable services that are capable of ingesting and transforming data at huge scale coming from many different sources on schedule.
• Turn ideas and concepts into carefully designed and well-authored quality code.
• Articulate the interdependencies and the impact of the design choices.
• Develop APIs to power data driven products and external APIs consumed by internal and external customers of data platform.
• Collaborate with QA, product management, engineering, UX to achieve well groomed, predictable results.
• Improve and develop new engineering processes & tools.

Knowledge and Experience

• 3+ years of building Enterprise Software Products.
• Experience in object-oriented design and development with languages such as Java. J2EE and related frameworks.
• Experience building REST based micro services in a distributed architecture along with any cloud technologies. (AWS preferred)
• Knowledge in Java/J2EE frameworks like Spring Boot, Microservice, JPA, JDBC and related frameworks is must.
• Built high throughput real-time and batch data processing pipelines using Kafka, on AWS environment with AWS services like S3, Kinesis, Lamdba, RDS, DynamoDB or Redshift . (Should know basics atleast)
• Experience with a variety of data stores for unstructured and columnar data as well as traditional database systems, for example, MySQL, Postgres.
• Proven ability to deliver working solutions on time.
• Strong analytical thinking to tackle challenging engineering problems.
• Great energy and enthusiasm with a positive, collaborative working style, clear communication and writing skills.
• Experience with working in DevOps environment.
• Demonstrated ability to set priorities and work in a fast-paced, dynamic team environment within a start-up culture. 
• Experience with big data technologies and exposure to Hadoop, Spark, AWS Glue, AWS EMR etc.
• Experience with handling large data sets using technologies like HDFS, S3, Avro and Parquet.