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.
Responsibilities:
- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
- Apply fundamental knowledge of programming languages for design specifications.
- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
- Serve as advisor or coach to new or lower level analysts
- Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
- 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.
Qualifications:
- 4-8 years relevant experience in Data Analytics OR Big Data
- Hands on experience over SQL , Python, Pyspark, with Spark components
- 2-4 years of experience as Big Data Engineer to develop, optimize, and manage large-scale data processing systems and analytics platforms.
- 4 years of experience in distributed data processing & near real-time data analytics using PySpark.
- ETL Experience preferred over Abinitio.
- Strong understanding of PySpark execution plans, partitioning & optimization techniques.
Education:
- Bachelor’s degree/University degree or equivalent experience
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Job Family Group:
Technology-
Job Family:
Applications Development-
Time Type:
Full time-
Most Relevant Skills
Please see the requirements listed above.-
Other Relevant Skills
PySpark.-
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