Responsibilities:
- As a Sr application developer , you would be performing lead data engineer role responsible for application development.
- Oversee process for technical issue escalation and prioritize technical issue resolution
- Leverage skills across Applications Development area to provide technical oversight across systems and applications
- Communicate internal and external departmental interdependence as well as cross product and cross project
- Resolve issues using in-depth knowledge of concepts and procedures within applications development
- Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business processes, system processes, and industry standards, and make evaluative judgement
- Contribute to planning, budget management, formulation of procedures, and resource planning negotiating with external parties when necessary
- 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Qualifications:
- 7-12 years of relevant experience as Data Engineer in PySpark, Hadoop, Hive
- Experience in managing and implementing successful projects
- Ability to take ownership and make technical decisions on software development projects
- Experience with dependency management, change management, continuous integration testing tools, and audit/compliance requirements
- Extensive knowledge of software engineering and object-oriented design
- Demonstrated leadership and management skills
- Consistently demonstrates clear and concise written and verbal communication
- The candidate should have around 7-12 years of overall experience in Development and 4-8 years in Bigdata Ecosystem.
- Should know Spark along with strong programming language experience in PySpark.
- Should know SQL at intermediate level and Good to have Banking Domain Knowledge.
Skills set: -
- Python programming language and pySpark - Must Have - Expert
- Big Data – Hadoop, Hive - Must Have - Expert
- SQL , Database - Must have - Intermediate
- Unix Shell Scripting - Nice to Have - Intermediate
- GIT, JIRA, Jenkin - Must Have - Intermediate
- Jupyter notebook - Must Have - Intermediate
- Coding / Problem solving skills - Must Have - Expert
- Candidate must have Exposure working on large development project with global team. Candidate must able work independently with minimal support from peers.
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.
The candidate should have around 7-12 years of overall experience in Development and 4-8 years in Bigdata Ecosystem.
Should know Spark along with strong programming language experience in PySpark.
Should know SQL at intermediate level and Good to have Banking Domain Knowledge.
Skills set: -
Python programming language and pySpark - Must Have - Expert
Big Data – Hadoop, Hive - Must Have - Expert
SQL , Database - Must have - Intermediate
Unix Shell Scripting - Nice to Have - Intermediate
GIT, JIRA, Jenkin - Must Have - Intermediate
Jupyter notebook - Must Have - Intermediate
Coding / Problem solving skills - Must Have - Expert
Candidate must have Exposure working on large development project with global team. Candidate must able work independently with minimal support from peers.
Applications Development
Time Type:
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