
Global investment banking and financial services
AVP Data Engineer
The Data/Information Mgt Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Basic Qualifications
- Master’s /MCA or Bachelor’s degree in Engineering / Technology / computer science from premier institutes with 8 -12 years of relevant experience in delivering data analytical solutions.
- Strong people management skills.
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Hands-on experience – Big Data Technology stack such as HIVE, Spark
- Programming –Python, Scala, Spark SQL, Pyspark Dataframes API
- Proficient in designing efficient and robust ETL workflows
- Ability to automate the manual workflows, processes, data loads
- Experience of working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Experience of working with Streaming data.
- Experience in working on Credit Cards and Retail Banking products
- Should have excellent communication and inter-personal skills
- Strong process/project management skills
- Multiple stake holder management
- Strong team player
- Ability to guide and Mentor Juniors
- Control orientated and Risk awareness
Preferred Qualifications
- Experience with APIs integration will be preferred
- Knowledge of Credit Cards and Retail Banking products
- Good to have exposure to Machine Learning Algorithms, Pattern Mining/Detection
- Experience in Tableau/Arcadia would be preferred
- Industry: Credit Cards, Financial Services, Banking
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Decision Management
Job Family:
Data/Information Management
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Citigroup 소개

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
직원 수
New York City
본사 위치
$86B
기업 가치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
3.8
보상
2.5
문화
4.0
커리어
3.2
경영진
3.5
65%
지인 추천률
장점
Good work-life balance
Supportive management and colleagues
Good benefits
단점
Low or uncompetitive salary/pay
Long hours during peak times
Poor management and lack of direction
연봉 정보
48개 데이터
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Analytics Senior Analyst
3개 리포트
$117,000
총 연봉
기본급
$120,800
주식
-
보너스
-
$117,000
$117,000
면접 후기
후기 3개
난이도
3.3
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 33%
부정 67%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
최근 소식
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