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Python and Apache Spark Big Data Engineer - Assistant Vice President

Pune · Staff/Principal

Recently posted - highest visibilityVerified listingPosted 21h ago

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64Skills
97Experience

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Skills required

18 listed
Real Time DataApache SparkData StructuresSystems AnalysisUnit TestingContinuous IntegrationPython (Programming Language)Hadoop Distributed File System (HDFS)+10 more
Real Time DataApache SparkData StructuresSystems AnalysisUnit Testing

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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.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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