- Analyze and understand data sources & APIs
- Design and Develop methods to connect & collect data from different data sources
- Design and Develop methods to filter/cleanse the data
- Design and Develop SQL , Hive queries, APIs to extract data from the store
- Work closely with data Scientists to ensure the source data is aggregated and cleansed
- Work with product managers to understand the business objectives
- Work with cloud and data architects to define robust architecture in cloud setup pipelines and work flows
- Work with DevOps to build automated data pipelines
Total Experience Required
- 4 <years <10 of relevant experience
- The candidate should have performed client facing roles and possess excellent communication skills
Business Domain knowledge: Finance & banking systems, Fraud, Payments
Required Technical Skills
- Big Data-Hadoop, NoSQL, Hive, Apache Spark
- Python
- Java & REST
- GIT and Version Control
Desirable Technical Skills
- Familiarity with HTTP and invoking web-APIs
- Exposure to machine learning engineering
- Exposure to NLP and text processing
- Experience with pipelines, job scheduling and workflow management
Personal Skills
- Experienced in managing work with distributed teams
- Experience working in SCRUM methodology
- Proven sense of high accountability and self-drive to take on and see-through big challenges
- Confident, takes ownership, willingness to get the job done
- Excellent verbal communications and cross group collaboration skills