- 6-8 years' Overall work experience, preferably in product development
- 3-5 years’ work experience in Systems or application development
- Proven expertise in debugging and performing root cause analysis on large data platforms.
- Motivation to learn new technologies and explore areas outside of expertise.
- Proven capability & track record of normalizing unstructured datasets
- Ability to build Extract, Transform & Load (ETL) pipelines with multiple data structures, formats, sources, and dependencies.
Technology Skills Required:
- 3-5 Years Expertise in Programming Languages: Either Python or Scala or Java and additionally SQL Required
- Data Processing Frameworks: Apache Spark or Hadoop
- Proficiency in AWS (Amazon Web Services) Cloud technologies (AWS Lambda, Kinesis Streams & IAM – all 3 Required)
- Database Technologies: MySQL/PostgreSQL/MongoDB