Python and Apache Spark Big Data Engineer - Assistant Vice President

Citigroup; Pune District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Citigroup in Pune is seeking an experienced Big Data Engineer to translate application stories into scalable data solutions. You will design and maintain high-perf Python/Scala code for Spark clusters, ensuring performance, quality, and responsiveness while tackling bottlenecks and bugs.

You will collaborate with global teams across locations and contribute to best practices. The role requires 8–12 years in Big Data, strong Python/Scala and SQL, and hands-on experience with HDFS, Hive, Spark,

Qualifications

• 8–12 years of experience in Big Data / data engineering roles.
• Strong programming skills in Python/Scala and SQL.
• Experience with Hadoop ecosystem (HDFS, MapReduce, YARN, Spark, Hive).

Responsibilities

• Translate stories into functional Big Data applications.
• Design and maintain high-performance Python/Scala code for Spark clusters.
• Ensure performance, quality, and responsiveness of applications.
• Identify bottlenecks and bugs and implement solutions.
• Collaborate with global teams across locations to propagate best practices.
• Perform data processing using Hive, Impala & HBase and derive insights.

Skills

Python

Scala

Spark

Big Data

SQL

Unix/Linux

Shell scripting

Performance tuning

Problem solving

Tools

Git

Jira

Maven

Jenkins

TeamCity

Hadoop

Hive

Impala

HBase

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

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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