Responsibilities

Design, develop, and maintain API s using Java and Spring B oot and ensure efficient data exchange between applications. Implement API security measures including authentication, authorization, and rate limiting. Document API specifications and maintain API documentation for internal and external users.
De velop integration with different data sources and other APIs / Web Services
Develop integrations with IBM MQ and Kafka
Develop / Maintain CI/CD pipelines
Do performance evaluation and application tuning
Monitor and troubleshoot application for stability and performance
Well versed in design, development, and unit testing of ETL jobs that read and writes data from database tables, flat files, datasets, IBM MQ s, Kafka topics, S3 files, etc.
Carry out Data Profiling of Source data and generate logical data models (as required or applicable).
Define, document, and complete System Requirements Specifications including Functional Requirements, Context Diagrams, Non-Functional Requirements, and Business Rules (as applicable for Sprints to be complete).
Create Source-to-Target mapping documents as required and applicable.
Support definition of business requirements including assisting the Product Owner in writing user stories and acceptance criteria for user stories.
Support other scrum team members during the following activities (as required or applicable).
Design of test scenarios and test cases.
Develop and identify data requirements for Unit, Systems, and Integration tests.

Qualifications

Required Skills :

Programming Languages: Proficiency in Java.
Web Development: Experience with SOAP and RESTful services.
Database Management: Strong knowledge of SQL (Oracle).
Version Control: Expertise in using version control systems like Git.
CI/CD: Familiarity with CI/CD tools such as GitLab CI and Jenkins.
Containerization & Orchestration: Experience with Docker and OpenShift.
Messaging Queues: Knowledge of IBM MQ and Apache Kafka.
Cloud Services: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Adept working experience in design and development of performance efficient ETL flows dealing with millions of rows in volume.
Must have experience working in SAFE Agile Scrum project delivery model.
Good at writing complex SQL queries to pull data out of RDBMS databases like Oracle, SQL Server, DB2, Teradata , etc.
Good working knowledge of Unix scripts.
Batch job scheduling software such as CA ESP.
Experienced in using CI/CD methodologies .

Required Experience & Education:

Must have 11 - 13 years of hands-on development of ETL jobs using IBM DataStage version 11 or higher.
Experience managing and/or leading a team of developers.
Working knowledge of Data Modelling, solution architecture, normalization, data profiling etc.
Adherence to good coding practices, technical documentation, and must be a good team player.

Desired Skills

Analytical Thinking: Ability to break down complex problems and devise efficient solutions.
Debugging: Skilled in identifying and fixing bugs in code and systems.
Algorithm Design: Proficiency in designing and optimizing algorithms.
Leadership: Proven leadership skills with experience mentoring junior engineers.
Communication: Strong verbal and written communication skills.
Teamwork: Ability to collaborate effectively with cross-functional teams.
Time Management: Competence in managing time and meeting project deadlines.

Education

Bachelor s degree in Computer Science , Software Engineering, or related field. A Masters degree is a plus.
Certifications: Relevant certifications in AWS a plus

Software Engineering Manager