Officer - Data Engineer (Big Data, Python, PySpark)

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.

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities & Qualifications

• 5-8 years of relevant experience Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing.

• Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

• Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark

• Data Warehousing & Database Management: Understanding of Data Warehousing concepts,

• Demonstrated problem-solving and decision-making skills

• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

• Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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