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------------------------------------------------------

Job Family:

Applications Development------------------------------------------------------

Time Type:

Full time------------------------------------------------------

Most Relevant Skills

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Other Relevant Skills

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