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What you get to do (your 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 solutions on platform-based approach.

Collaborate with QA, product management, engineering, UX to achieve well groomed, predictable results.

Believe in Teamwork and work in close collaboration with Senior/Staff Engineers

Fluidly adapt to changes and new requirements.

What youve probably done (your qualifications):

8+ years of building Enterprise Software Products.

Experience in object-oriented design and development with Java/Scala language

Must have experience in building Spring Boot Framework based REST based micro services in a distributed architecture

Experience with a variety of data stores for unstructured and columnar data as well as traditional database systems, for example, MySQL, DynamoDB, Postgres

Experience with Docker based Containerization and AWS Services like S3, Kinesis,

Experience in data pipeline using various data streams like Confluent Kafka, AWS Kinesis etc.

Experience in distributed storage using S3, HDFS

Experience in handling and processing data in json and parquet file format

Experience in distributed data processing using AWS EMR, Apache Spark, AWS Glue services

Experience in Infrastructure as Code using Cloud formation or Terraform and deployment using shell script in Jenkins Job

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 you build it, you run it

BE/BTech or ME/MTech in Computer Science

Nice to have :

Knowledge on Apache NiFi based data ingestion

Experience with Kafka Connectors and various data stores and data sink connectors

Experience with Open-Source products and components

Ellie Mae is an equal opportunity and affirmative action employer. Women, minorities, people with disabilities, and veterans are supported to apply. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.