Data Engineer Pyspark Developer

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business

Shape your Career with Citi

We’re currently looking for a high caliber professional to join our team as Officer, Data Engineer Pyspark Developer - Hybrid (Internal Job Title: 26938336 Pyspark Developer-C11) based in Pune & Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

- We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.

- We empower our employees to manage their financial well-being and help them plan for the future.

- We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.

In this role, you’re expected to:

- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code.

- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems

- Apply fundamental knowledge of programming languages for design specifications.

- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging

- Serve as advisor or coach to new or lower level analysts

As a successful candidate, you’d ideally have the following skills and exposure:

- 3-7 years of relevant experience into Data Engineering

- Hand on experience in "Python", "PySpark", "Databricks", "Kafka", "Shell Script" & "SQL"