Data Engineer(python)

Job Description

• , :, , Design, Develop, Execute & Manage a Data Science Data Warehouse (DS-DWH) which will involve writing ETL jobs in Python to read data from MongoDB and create a MongoDB + PostGreSQL DS-DWH, This DS-DWH would be the primary DWH that other data scientists in the team will use to design, develop and execute ML algorithms that runs Wizely's proprietary Gamification Engine
• Creating Reporting Dashboards using open source platforms, including but not limited to Google Data Studio, Re-Dash, Jasper with a Python ETL Layer from MongoDB
• Design and development experience building a reusable REST API model/framework to consume data from and/or push data into MongoDB (or similar technology)
• , ,:,2-3 yrs of experience in SQL/ NoSQL/Python Scripting and Working with MongoDB database to extract the desired results
• Experience in creating Reporting Dashboards using open source platforms, including but not limited to Google Data Studio, Re-Dash, Jasper with a Python ETL Layer from MongoDB
• Design and development experience building a reusable REST API model/framework to consume data from and/or push data into MongoDB (or similar technology)
• In depth knowledge of modeling/architectural patterns, governance methodologies, and potential limitations within MongoDBWriting reusable, testable, and efficient code
• Expertise in Python, data warehouse
• Familiarity with other functional or object orientated languages
• Familiarity of working with databases and using SQL
• Ability to reason about and work with distributed systems
• Knowledge of risk and PNL reporting is desirable
• Familiarity with Spark, Impala, Kafka and other Hadoop technologies is a plus.

Job Summary