Data Engineer

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Strong experience with one or more programming languages (Python/Spark) with 4+ years of experience.
•  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.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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