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**Big Data Engineer - Python and Spark** Drive data management and analysis for Citi. Design, maintain, and optimize big data systems using Hadoop, Spark, and Python. Engineer and implement ETL processes, harnessing tools like Talend. Leverage machine learning techniques to derive insights. Requires 2-5 years' experience in big data engineering, proficiency in Python, SQL, and Unix scripting. Hybrid position (Pune, India).
- Compensation
- Not specified
- City
- Pune
- Country
- India
Currency: Not specified
Full Job Description
Big Data Engineer - Python and Spark
Job Req Id:
26984829
Location(s):
Pune, Maharashtra, India
Job Type:
Hybrid
Posted:
Aug. 19, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The Data/Information Mgt Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
Qualifications:
- Masters / Engineering Degree with 0- 2 years of experience in Big Data systems, Hive, Hadoop, Spark (Python/ scala) and cloud-based data management technologies
- Hands-on experience in Unix Scripting, Python and Scala programing along with strong experience in SQL.
- Comfortable working with completed unstructured, undocumented code and turning it around into best-in-class code redesigning costly compute and data processes and aligning to best development standards
- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Well versed with necessary data preprocessing and application engineering skills
- At least 3 years of experience designing software systems with intense computational needs across real time and batch process .
- Experience and understanding of Supervised, unsupervised machine learning techniques
- Exposure to data ingestion, ETL tools such as Talend, modeling tools, Performance Management tooling such as Pepper data, Cloudera stack will be a plus
- Knowledge of data management, data governance, data security and regulatory practices
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Should have experience of working in onsite, offsite delivery model
- Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Previous related experience preferred
- High attention to detail
Education:
- Bachelors/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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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.------------------------------------------------------
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