Python and Apache Spark Big Data Engineer - Assistant Vice President

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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