Python and Apache Spark Big Data Engineer - Assistant Vice President

Citigroup Inc.; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Citi seeks an experienced Big Data Developer in Pune to translate requirements into scalable applications using Python/Scala and Spark. You will design and optimize data pipelines, process large datasets, and work across global teams to ensure high performance and reliability.

Responsibilities include implementing best practices, debugging, and collaborating on SDLC activities, with exposure to Hive/Impala/HBase and real-time data processing with Kafka.

Qualifications

• Strong experience with one or more programming languages (Python/Spark).
• Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain.
• Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques.
• Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive.
• Familiarity with data formats like Avro, Parquet, CSV, JSON.
• Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities.
• Understanding fundamental design principles behind a scalable application.
• Experience in working with UNIX/LINUX and shell scripting.
• Good knowledge of database principles, practices with SQL.
• Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain.
• Agile/Scrum methodology experience is required.
• Experience in SCMs like GIT and tools like JIRA.
• Experience in No SQL databases.
• Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City.
• Familiarity with cloud and container technologies.
• Experience real time data processing - Kafka.

Responsibilities

• Translate application storyboards and use cases into functional applications.
• Design, build, and maintain efficient, reusable, and reliable Python/Scala code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Develop high performance & low latency components to run Spark clusters.
• Interpreting functional requirements into design approaches those can be served through Big Data platform.
• Collaborate and partner with Global Teams based across different locations.
• Be able to propose best practices and standards.
• Perform the testing of software prototypes and transfer to the operational team.
• Processing of data using Hive, Impala & HBASE.
• Performing analysis of large data sets and derive insights.

Skills

Python

Scala

Spark

SQL

HDFS

Hive

Impala

HBase

MapReduce

YARN

Unix/Linux

Shell scripting

NoSQL

Git

Jira

Maven

Jenkins

Kafka

Cloud

Containers

Tools

Jenkins/Team City

GIT

Maven

Job description

Experience Range - 8 to 12 years

• Strong experience with one or more programming languages (Python/Spark).
• Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain.
• Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques.
• Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive.
• Familiarity with data formats like Avro, Parquet, CSV, JSON.
• Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities.
• Understanding fundamental design principles behind a scalable application.
• Experience in working with UNIX/LINUX and shell scripting.
• Good knowledge of database principles, practices with SQL.
• Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have:
• Agile/Scrum methodology experience is required.
• Experience in SCMs like GIT and tools like JIRA.
• Experience in No SQL databases.
• Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City.
• Familiarity with cloud and container technologies.
• Experience real time data processing - Kafka.

Responsibilities

• Translate application storyboards and use cases into functional applications.
• Design, build, and maintain efficient, reusable, and reliable Python/Scala code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Develop high performance & low latency components to run Spark clusters.
• Interpreting functional requirements into design approaches those can be served through Big Data platform.
• Collaborate and partner with Global Teams based across different locations.
• Be able to propose best practices and standards.
• Perform the testing of software prototypes and transfer to the operational team.
• Processing of data using Hive, Impala & HBASE.
• Performing analysis of large data sets and derive insights.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

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