Citi Group Python Data Engineer - AVP C12 Pune 

India, Maharashtra, Pune 

530041577

Who you are

• You’ve got positive energy. You are optimistic about the future and determined to get there. You appreciate open and direct communication. You are both – an active communicator and an eager listener.
• You can switch context & pivot on the fly. You should be flexible to accommodate the constantly changing regulatory landscape into your projects by translating the business requirements into technical specifications.
• You want to be part of a winning team. We build & grow with one another and you’re a person who does not shy away from being pushed out of your comfort zone.
• You are often cited as inspiration for the junior colleagues, and they feel that they can learn something from you.
• You have a “can do” attitude. You will engineer & create high-quality reporting dashboards. Owning a problem does not scare you but empowers you to take 100% ownership.

Python/Data Engineer

Key Responsibilities:

Evaluate and provide technical solutions to solve a variety of complex and interdependent processes.

• Build and maintain the platform ensuring timely delivery of work items across the multiple initiatives/components.
• Ensure all team members adhere to our code quality and testing standards.
• Test and debug programs Coordinate with internal teams to understand user requirements and provide technical solutions.

Skills & Experience :

• 10 to 12 years of IT experience
• Python development experience, particularly on data processing and the associated modules
• Basic experience on Unix, hdfs and supported libraries such as PyArrow. Any PySpark experience is preferred as the environment uses Hadoop and Spark and it supports python.
• Working knowledge of Databases (SQL) is required.
• Working knowledge of BitBucket or equivalent SCM tool is required.
• Knowledge of Apache Airflow is desirable Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
• Ability to multi-task and deliver to a tight deadline

Time Type:

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