Role: Big Data Engineer
Location : Dallas, Texas
Job Type: Hybrid
• 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