6.0 - 10.0 years

0 Lacs

chennai, tamil nadu

On-site

The Applications Development Intermediate Programmer Analyst position is an intermediate level role where you will be responsible for participating in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your main objective will be to contribute to applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures and concepts, along with basic knowledge of other technical areas, to identify and define necessary system enhancements. This will involve using script tools, analyzing code, and consulting with users, clients, and other technology groups to recommend programming solutions. Additionally, you will be responsible for installing and supporting customer exposure systems and applying fundamental knowledge of programming languages for design specifications. As an Applications Development Intermediate Programmer Analyst, you will analyze applications to identify vulnerabilities and security issues, conduct testing and debugging, and act as an advisor or coach to new or lower-level analysts. You will need to identify problems, analyze information, and make evaluative judgments to recommend and implement solutions. Moreover, you will be expected to resolve issues by selecting solutions through the application of acquired technical experience and independent judgment. You should be able to operate with a limited level of direct supervision, exercise independence of judgment and autonomy, and act as a subject matter expert to senior stakeholders and/or other team members. It is crucial to assess risk appropriately when making business decisions, with a particular focus on safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Qualifications: - 6-10 years of hands-on experience in pure technical roles in the development of various software applications. - Strong knowledge and application of Java, J2EE, HTML/CSS, Angular, JSP, Servlets, JDBC, Struts framework, Spring, and Microservice. - Thorough understanding of fundamental concepts like Exception Handling, OOPS concepts, Collections, Multi-Threading, and more. - Exposure to an industry-standard database (Oracle) on a UNIX platform and awareness of database design and SQL scripting knowledge. - Knowledge of unit testing frameworks like JUnit or TestNG and application servers/webservers. - Work experience with transactional applications for low latency, high availability uses is a plus. - Exposure to technologies like JMS/Kafka and DevOps tools like GitHub, Jenkins, Lightspeed, Harness, etc. - Knowledge of various treasury products such as FX, Money Markets, Fixed Income, and Derivatives is a plus. - Graduation/Post Graduation qualifications in Engineering stream with a very good academic record throughout from premier institutions. - Strong analytical ability, quantitative skills, logical thinking, and problem-solving skills. - Strong interpersonal and articulation skills, ability to partner with non-technical and technical peers, and effective time management skills. - Innovative, positive attitude, strong team orientation, and commitment to overall team success. Competencies: - Innovative and Positive Can-Do attitude - Planning and Organizing - Resilience - Accountability This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.,

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Consultant - Lead Data Engineer Affine Analytics

5.0 - 8.0 years

15 - 27 Lacs

Bengaluru

Work from Office

Strong experience with Python, SQL, pySpark, AWS Glue. Good to have - Shell Scripting, Kafka Good knowledge of DevOps pipeline usage (Jenkins, Bitbucket, EKS, Lightspeed) Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Orchestration using Airflow Good to have - Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming Good debugging skills Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehouse architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Experience in Insurance domain preferred.

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