Data Analyst

Citi; Gurugram District; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Citi is seeking a skilled data engineering professional to join the Data/Information Management family. The role requires 3+ years in Big Data ecosystems (Hive/Hadoop/Spark) and strong Python/Scala plus SQL skills.

You will tackle unstructured code, redesign costly data processes, and align with high development standards while working across real-time and batch workloads. Applicants should be comfortable with large datasets, data warehouses, and data ingestion pipelines, and will engage with

Qualifications

• Engineering degree with 3+ years in Big Data systems and cloud data management.
• Hands-on Unix scripting, Python and Scala with strong SQL experience.
• Ability to refactor unstructured code into clean, scalable data processing pipelines.
• Experience with large datasets, data warehouses, and data extraction via programming.
• Knowledge of data governance, data security and regulatory practices.
• Experience in onsite/offsite delivery models and cross-functional collaboration.

Responsibilities

• Turn around unstructured, undocumented code and redesign it into best-in-class data processing solutions.
• Design software systems with real-time and batch processing to meet performance needs.
• Work with large datasets and data warehouses, pulling data with relevant programs and coding.
• Apply data preprocessing and engineering skills to prepare datasets for analytics.
• Collaborate with stakeholders and present complex problems clearly to management.

Skills

BigData systems

Hive

Hadoop

Spark (Python/Scala)

Unix scripting

Python

Scala

SQL

Data warehousing

Data management

Data governance

Regulatory practices

Stakeholder management

Communication skills

Onsite/onsite delivery

Education

Bachelor's degree or equivalent experience

Tools

Talend

PepperData

Cloudera stack

Job description

Responsibilities

• Engineering Degree with more than 3 years of experience in BigData 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.
• Experience in Credit Cards and Retail Banking
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Multiple stake holder management
• Control orientated and Risk awareness

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.

• Engineering Degree with more than 3 years of experience in BigData 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.
• Experience in Credit Cards and Retail Banking
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Multiple stake holder management
• Control orientated and Risk awareness

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.

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