Big Data Engineer

The Applications Development 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.

Responsibilities:

• Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
• Identify and analyze issues, make recommendations, and implement solutions
• Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
• Analyze information and make evaluative judgements to recommend solutions and improvements
• Conduct testing and debugging, utilize script tools, and write basic code for design specifications
• Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures
• Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  
  

Additional Job Description

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

Responsibilities

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Implementing data wrangling, scarping, cleaning using both Java or Python
  
  

Strong experience on data structure.

Extensively work on API integration.

• Monitoring performance and advising any necessary infrastructure changes
• Defining data retention policies
  
  

Skills And Qualifications

• Proficient understanding of distributed computing principles
• Proficient in Java or Pyhton and some part of machine learning
• Proficiency with Hadoop v2, MapReduce, HDFS,Pyspark,Spark
• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
• Experience with Spark
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Cloudera/MapR/Hortonworks
  
  

Qualifications:

• 0-2 years of relevant experience
• Experience in programming/debugging used in business applications
• Working knowledge of industry practice and standards
• Comprehensive knowledge of specific business area for application development
• Working knowledge of program languages
• Consistently demonstrates clear and concise written and verbal communication
  
  

Education:

• Bachelor’s degree/University degree or equivalent experience
  
  

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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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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