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Senior Big Data Java and Spark Developer
Build low-latency financial applications at Citi using Java, Spark, and big data technologies. Develop data solutions across Hadoop, Scala, Python, and cloud platforms.
विवरण
- Contribute to the design and delivery of new or updated applications with the Technology team.
- Assess feasibility, estimate time and costs, plan IT work, and support risk technology, application and model development, and implementation.
- Oversee development from analysis and design through construction, testing, and implementation.
- Support business users with application and operational issues.
- Investigate complex application development challenges and assess business, system, and industry processes and standards.
- Recommend and implement security improvements based on post-implementation reviews.
- Work with users, clients, and technology teams to resolve issues and propose advanced programming solutions.
- Install and support customer exposure systems.
- Follow required procedures and contribute to operating standards and processes.
- Coach and advise new or junior analysts.
- Work with limited supervision, using independent judgment and autonomy.
- Provide subject matter expertise to senior stakeholders and team members.
- Manage risk and maintain compliance with applicable laws, regulations, rules, and policies.
- Escalate, manage, and report control issues openly.
आवश्यकताएँ
- At least 8 years of relevant experience.
- Experience in systems analysis and software application programming.
- Experience managing and delivering successful projects.
- Working knowledge of consulting and project management methods and techniques.
- Able to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
- At least 8 years of development experience with the Hadoop ecosystem, including HDFS, Impala, Hive, or HBase.
- Experience developing Java server-side software for low-latency applications.
- Scala programming skills.
- Expertise with Spark, including micro-batching and end-of-day or real-time processing.
- Data analysis skills, preferably using SQL.
- A financial services background is preferred.
- Python skills.
- Linux skills.
- Experience with Databricks or AWS.
- Track record of meeting agreed objectives.
- Able to multitask and work under pressure.
- Able to learn and apply new concepts.
- Demonstrated problem-solving ability.
- Proactive and enthusiastic, with a willingness to learn.
- Strong analytical and process skills, including process flow diagrams, business modeling, and functional design.
- Bachelor’s degree, university degree, or equivalent experience.
लाभ
- Equal opportunity employer.
- Reasonable accommodations for people with disabilities.
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