We are looking Python ETL Developer having more than 3 years of experience in the design and implementation of low-latency, high-availability, and performant applications

Responsibilities:

• Python, PySpark, ETL Tools experience like (DSS or Informatica OR AWS Glue OR Jitterbit)
• Python language for data processing (panda, PySpark)
• Data analysis using PySpark (and SQL)• Knowledge (and if possible experiment) in a Hadoop / HDFS file systems big data environment
• ETL Concepts (preferably exposure to Dataiku DSS (Data Science Studio) or any other ETL tool)
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions {may include databases, key-value stores, blob stores, etc.}

Required:

• Minimum 4 years of experience is required.
• A computer degree is essential.
• Python Scripting-L3, (Mandatory) and Cloud-IaaS-Compute-Amazon Web Services-AWS-L3, (Optional), Python.
• Application Development (Mandatory)
• As a Lead, you are responsible for managing a small team of analysts, developers, testers, or engineers and drive the delivery of a small module within a project (Delivery/Maintenance/Testing)
•  You may serve as an entry-level specialist with expertise in a particular technology/industry domain/a process/application/product.
• You are responsible for the functional/technical track of a project.