Big Data Engineer - Python and Spark

Citibank (Switzerland) AG

Pune District

On-site

Confidential

Full time

4 days ago
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Job summary

Citibank (Switzerland) AG in Pune, India seeks a Data/Information Management Analyst trainee with strong Big Data skills to analyze, preprocess and handle large datasets. You will work on data integration, ETL concepts and modern data platforms, while collaborating with cross-functional teams to deliver value.

The role targets candidates with 0–2 years of experience in big data ecosystems, Python/Scala, SQL, and basic ML concepts, and involves transforming complex code into optimized,

Qualifications

  • Master’s / 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

Job description

Job Family Group: Decision Management

Job Family: Data/Information Management

Time Type: Full time

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:
  • Master’s / 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.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above.

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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